Publish gemma-4-26B-A4B-it distribution-fidelity artifact

Gemma-4-26B-A4B-it-NVFP4/attribution.json

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Gemma-4-26B-A4B-it-NVFP4/attribution/gemma-4-26B-A4B-it-qdq-experts-attention-dense_mlp-nvfp4-qdq-manifest.json

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Gemma-4-26B-A4B-it-NVFP4/attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4-qdq-manifest.json

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Gemma-4-26B-A4B-it-NVFP4/compliance.json

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Gemma-4-26B-A4B-it-NVFP4/inspect.json

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Gemma-4-26B-A4B-it-NVFP4/manifest.json

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+    "context_length": 2048,
+    "contexts": 768,
+    "limit": null,
+    "partition": "analysis",
+    "partition_token_sha256": "81d66409b44937fadcb5361f42b497543b6cfd377d7fb85c7dabdcd7afd57f32",
+    "recipe_id": "lil-fidelity-1024x2048-v1",
+    "suite_id": "gemma4-31b-it-fidelity-1024x2048-v1",
+    "suite_token_sha256": "9ef504c2d56e149b6bb6b08f0c593b4168b4b60d2657ef4497f543888810d192",
+    "tokenizer": {
+      "class": "GemmaTokenizer",
+      "name_or_path": "/media/fmodels2/google/gemma-4-31B-it",
+      "unpadded_vocab_size": 262144,
+      "vocab_size": 262144
+    }
+  },
+  "tokenizer": {
+    "actual_vocab_size": null,
+    "class": "GemmaTokenizer",
+    "special_tokens_map": {
+      "audio_token": "<|audio|>",
+      "boa_token": "<|audio>",
+      "boi_token": "<|image>",
+      "bos_token": "<bos>",
+      "eoa_token": "<audio|>",
+      "eoc_token": "<channel|>",
+      "eoi_token": "<image|>",
+      "eos_token": "<eos>",
+      "eot_token": "<turn|>",
+      "escape_token": "<|\"|>",
+      "etc_token": "<tool_call|>",
+      "etd_token": "<tool|>",
+      "etr_token": "<tool_response|>",
+      "image_token": "<|image|>",
+      "mask_token": "<mask>",
+      "pad_token": "<pad>",
+      "soc_token": "<|channel>",
+      "sot_token": "<|turn>",
+      "stc_token": "<|tool_call>",
+      "std_token": "<|tool>",
+      "str_token": "<|tool_response>",
+      "think_token": "<|think|>",
+      "unk_token": "<unk>"
+    },
+    "vocab_sha256": "2f396f1b9092280fd3138ba9f9ec8173650fdab98608975e1c13b1f5fc4f1227",
+    "vocab_size": 262144
+  }
+}

Gemma-4-26B-A4B-it-NVFP4/provenance.json

@@ -0,0 +1,53 @@
+{
+  "reference": "/media/fmodels2/google/gemma-4-26B-A4B-it",
+  "candidate": "/media/fmodels2/bg-digitalservices/Gemma-4-26B-A4B-it-NVFP4",
+  "ok": true,
+  "identity": {
+    "architectures": [
+      "Gemma4ForConditionalGeneration"
+    ],
+    "hidden_size": 2816,
+    "num_hidden_layers": 30,
+    "layer_types": [
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention"
+    ],
+    "vocab_size": 262144,
+    "intermediate_size": 2112,
+    "head_dim": 256
+  },
+  "differing": [],
+  "tokenizer_sha256": {
+    "reference": "cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f",
+    "candidate": "cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f",
+    "match": true
+  }
+}

Gemma-4-26B-A4B-it-NVFP4/report.md

@@ -0,0 +1,296 @@
+# gemma-4-26B-A4B-it / Gemma-4-26B-A4B-it-NVFP4: distribution fidelity
+
+**Mean KLD(reference || candidate) = 1.82145209** over 1572096 scored positions.
+
+| Mean | Median | p90 | p99 | Max | Top-1 agreement |
+|---|---|---|---|---|---|
+| 1.82145209 | 0.67562807 | 5.18366838 | 13.27810988 | 49.11124802 | 57.7764% |
+
+Reverse direction, KLD(candidate || reference): 2.11838833.
+
+## Identity
+
+| Item | Value |
+|---|---|
+| Reference checkpoint | /media/fmodels2/google/gemma-4-26B-A4B-it |
+| Reference config SHA-256 | ed0c1eb3633d |
+| Candidate checkpoint | /media/fmodels2/bg-digitalservices/Gemma-4-26B-A4B-it-NVFP4 |
+| Candidate weights SHA-256 | df8f9c4ae95af181 |
+| Suite | gemma4-31b-it-fidelity-1024x2048-v1 |
+| Suite token SHA-256 | 81d66409b44937fa |
+| Capture manifest SHA-256 | 395c569193357bb7 |
+| Tokenizer | None |
+| Scored vocabulary | 262144 |
+| Declared vocabulary | 262144 |
+| Geometry | 768 rows x 2048 tokens, stride 2048, score_from 0 |
+| Reference storage | hidden |
+| Model runner | V1 |
+| Tensor parallel | 1 |
+| Eager enforced | True |
+| Prefix caching | False |
+| max_num_seqs | 1 |
+| vLLM | 0.1.dev20446+gb2bc9171d |
+| vLLM commit | f4cee453bfd3 |
+| torch | 2.13.0+cu132 |
+| Driver | 580.173.02 |
+| GPUs | NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
+| Laws version | 8 |
+| Partition | analysis |
+
+## Component attribution
+
+This reference routes tokens to experts, so the deployed mean is not a single effect. Each cell is the reference with one component rounded through the deployed scheme and run on BF16 kernels, scored on the same tokens against the same capture. The cells do not sum to the deployed mean and are not meant to: once a token is routed elsewhere, degrading the expert it no longer uses costs nothing.
+
+No cell here holds expert selection fixed. Rounding any weight changes the residual stream, and every router downstream of that change sees different inputs, so each cell carries some routing movement of its own. What routing costs is measured directly under [Routing divergence](#routing-divergence), not inferred from these cells.
+
+### What the deployed checkpoint quantizes
+
+| Property | Value |
+|---|---|
+| Scheme | nvfp4 |
+| Block | 16 |
+| Weights on disk | n/a |
+| Declared method | modelopt |
+| Algorithm | modelopt |
+| Activation scheme | n/a |
+
+| Component | Quantized weights | Coverage |
+|---|---|---|
+| attention | 115 / 115 | all |
+| dense_mlp | 90 / 90 | all |
+| experts | 11520 / 11520 | all |
+| router | 0 / 30 | none |
+
+### Component cells
+
+| Cell | What it isolates | Mean KLD | Selections changed | Support |
+|---|---|---|---|---|
+| Experts only | expert weight precision | 0.65884572 | 50.5274% | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4.json) · [manifest](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4-qdq-manifest.json) |
+| Router weights only | router weight precision, not the routing term | n/a — router ships unquantized | n/a | [routing divergence](#routing-divergence) |
+| Every quantized component | experts, attention, dense_mlp, BF16 kernels | 1.43550583 | 67.7501% | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-attention-dense_mlp-nvfp4.json) · [manifest](attribution/gemma-4-26B-A4B-it-qdq-experts-attention-dense_mlp-nvfp4-qdq-manifest.json) |
+| Deployed | as shipped, quantized kernels | 1.82145209 | 74.4408% | [report.json](report.json) |
+
+Two terms sit outside every cell above, because no cell can hold them. They are the reason the deployed mean is not a precision measurement:
+
+| Term | Value | Share | What it is | Derived in |
+|---|---|---|---|---|
+| Beyond weight rounding | +0.38594626 | 21% of the deployed mean | activation quantization and kernel arithmetic | [Beyond weight rounding](#beyond-weight-rounding) |
+| Routing, measured | saturated | n/a | expert selection changed at 74.4408% of choices and every scored position rerouted, so no held-routing population remains to measure the excess against | [Routing divergence](#routing-divergence) |
+
+The selections column is why none of these cells is routing-free: each one reroutes some tokens purely as a consequence of rounding weights upstream of a router it never touched.
+
+### Beyond weight rounding
+
+**+0.38594626** (21% of the deployed mean). Every cell above rounds weights and runs on BF16 kernels. The deployed checkpoint differs from the composite cell by this much. The checkpoint quantizes weights only, so this term is kernel arithmetic. A weight-only analysis, which is what any QDQ cell is, cannot see it.
+
+The deployed checkpoint leaves the router in BF16, so router weight precision costs exactly nothing here. That is not the same as routing costing nothing: an identical router fed perturbed activations selects different experts, which is measured under [Routing divergence](#routing-divergence).
+
+Evidence: qdq.py --inspect Gemma-4-26B-A4B-it-NVFP4: router 0 of 30 weights quantized
+
+### Scheme ladder
+
+The same expert weights rounded through each scheme, which is the cell that discriminates between them. Ladder rungs hold that weight set fixed across schemes, so a deployed rung is not the expert cell above it when the checkpoint quantizes only some of those weights.
+
+| Scheme | Experts-only mean KLD | Variant | Support |
+|---|---|---|---|
+| fp8_block | not expressible |  |  |
+| mxfp8 | 0.46808904 | gemma-4-26B-A4B-it-qdq-experts-mxfp8 | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-mxfp8.json) |
+| nvfp4 | 0.65884572 | gemma-4-26B-A4B-it-qdq-experts-nvfp4 | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4.json) |
+
+`fp8_block` has no rung on this model: fp8_block lays scales on a 128-wide grid and model.language_model.layers.0.experts.down_proj is 128x2816x704, whose 704 is not a multiple of 128. Padding the weight to fit the grid would change the scales, so the rung is reported absent rather than measured under a layout no checkpoint deploys.
+
+Full cells, digests, and the deployed checkpoint's inspection are in [attribution.json](attribution.json).
+
+## Routing divergence
+
+Both runs saw the same tokens, and the candidate's routers are the reference's routers to the bit where the checkpoint leaves them unquantized. They still selected different experts, because the activations arriving at them were already perturbed. This section compares the two runs' recorded selections over 30 routed layers, 8 experts per token.
+
+| Measure | Rate | Of what |
+|---|---|---|
+| Selections changed | 74.4408% | of 47162880 (token, layer) choices |
+| Expert slots changed | 41.1280% | of individual expert slots |
+| Highest-weighted expert changed | 26.7875% | includes reordering within an unchanged selection |
+| Positions with any flip | 100.0000% | 1572096 of 1572096 scored positions |
+
+| Positions where | Mean KLD | Count |
+|---|---|---|
+| Routing held | n/a | 0 |
+| Routing flipped | 1.82145209 | 1572096 |
+
+**Ranking floor undefined.** Every one of the 1572096 scored positions rerouted in at least one layer, so there is no held-routing population to compare the flipped ones against. The floor is not small here, it is unmeasurable, and no rescore changes that: the perturbation is large enough that routing divergence is the whole picture rather than a correction to it. Rank against this candidate on the experts-only cell, and treat the deployed mean as unranked.
+
+Divergence rises with how many layers rerouted, which is what distinguishes a single reroute a later layer can absorb from a token that took a different path through the model:
+
+| Layers rerouted | Positions | Mean KLD |
+|---|---|---|
+| 4-7 | 15 | 2.31663985 |
+| 8+ | 1572081 | 1.82144737 |
+
+Per-layer selection change runs from 28.34% to 90.59% (worst at layer 29), averaging 44.54% across the first quarter of routed layers and 88.42% across the last. Rerouting that grows with depth is accumulated perturbation, not router precision.
+
+## Fidelity by domain
+
+The suite is stratified, so the mean above is an average over kinds of text that do not degrade equally. `x run` is a domain's mean divided by the run's, so 1.00 degrades exactly as much as the model overall. The reference's own top-1 probability is shown because a domain the reference finds harder will diverge more for that reason alone.
+
+| Domain | Contexts | Reference top-1 | Mean KLD | x run | Worst context |
+|---|---|---|---|---|---|
+| Other multilingual content | 36 | 70.7% | 2.41123759 | 1.32 | 5.58170431 |
+| Scientific and technical exposition | 96 | 69.8% | 2.07188929 | 1.14 | 3.66731042 |
+| Natural dialogue, instruction following, and assistance | 96 | 77.3% | 2.07133975 | 1.14 | 4.34103513 |
+| Encyclopedic and factual reference | 96 | 68.9% | 2.02103919 | 1.11 | 3.45569841 |
+| Chinese across several content types | 72 | 63.3% | 1.90675926 | 1.05 | 3.64844870 |
+| News, history, economics, legal analysis, and essays | 72 | 68.9% | 1.78614330 | 0.98 | 3.33994945 |
+| Literary, narrative, and creative writing | 72 | 62.9% | 1.67000847 | 0.92 | 3.13460372 |
+| Worked mathematics, science, and formal reasoning | 96 | 72.4% | 1.55025460 | 0.85 | 2.97137007 |
+| Structured data, tool calls, APIs, JSON, and tables | 36 | 83.3% | 1.47353583 | 0.81 | 3.46372268 |
+| Source code, tests, technical documentation, and issue discussions | 96 | 84.2% | 1.37812061 | 0.76 | 2.70919362 |
+
+The same domains measured on the other attribution cells, which shows whether a domain's weakness is a property of the model or of the format:
+
+| Domain | deployed | mxfp8 | nvfp4 | all_quantized |
+|---|---|---|---|---|
+| Other multilingual content | 2.41123759 | 0.60547717 | 0.83417492 | 1.78787763 |
+| Scientific and technical exposition | 2.07188929 | 0.49939479 | 0.69630321 | 1.64129071 |
+| Natural dialogue, instruction following, and assistance | 2.07133975 | 0.59360268 | 0.81214064 | 1.63223190 |
+| Encyclopedic and factual reference | 2.02103919 | 0.48326683 | 0.70706639 | 1.60899741 |
+| Chinese across several content types | 1.90675926 | 0.46550453 | 0.68079090 | 1.42905706 |
+| News, history, economics, legal analysis, and essays | 1.78614330 | 0.46316973 | 0.63722594 | 1.41930026 |
+| Literary, narrative, and creative writing | 1.67000847 | 0.39760530 | 0.61395641 | 1.34757069 |
+| Worked mathematics, science, and formal reasoning | 1.55025460 | 0.39846297 | 0.55025835 | 1.22613314 |
+| Structured data, tool calls, APIs, JSON, and tables | 1.47353583 | 0.48035757 | 0.61317963 | 1.19883758 |
+| Source code, tests, technical documentation, and issue discussions | 1.37812061 | 0.36808736 | 0.51325925 | 1.10842929 |
+
+**Other multilingual content** is this candidate's weakest domain and **Source code, tests, technical documentation, and issue discussions** its strongest, a spread of 1.7x. A deployment weighted toward the weakest domain sees more divergence than the headline mean implies; the per-source breakdown and the reading are in [strata.md](strata.md) and [strata.json](strata.json).
+
+## Trunk versus head
+
+| Component | Value |
+|---|---|
+| Trunk (candidate hidden states, reference head) | 1.80890500 |
+| Deployed (candidate's own head) | 1.82145209 |
+| Head-associated delta (not additive) | 0.01254709 |
+| Reference head | {'state': 'unquantized', 'workers': [{'heads': [{'name': 'language_model.lm_head', 'org_vocab_size': 262144, 'quant_method': 'UnquantizedEmbeddingMethod', 'state': 'unquantized', 'weight_dtype': 'torch.bfloat16'}], 'logits_processor': {'head_dtype': 'torch.bfloat16', 'org_vocab_size': 262144, 'scale': 1.0, 'soft_cap': 30.0, 'type': 'LogitsProcessor', 'vocab_size': 262144}, 'primary': {'org_vocab_size': 262144, 'quant_method': 'UnquantizedEmbeddingMethod', 'state': 'unquantized', 'weight_dtype': 'torch.bfloat16'}, 'state': 'unquantized'}]} |
+| Candidate head | {'runtime': {'state': 'quantized', 'workers': [{'heads': [{'name': 'language_model.lm_head', 'org_vocab_size': 262144, 'quant_method': 'UnquantizedLinearMethod', 'state': 'quantized', 'weight_dtype': 'torch.bfloat16'}], 'logits_processor': {'head_dtype': 'torch.bfloat16', 'org_vocab_size': 262144, 'scale': 1.0, 'soft_cap': 30.0, 'type': 'LogitsProcessor', 'vocab_size': 262144}, 'primary': {'org_vocab_size': 262144, 'quant_method': 'UnquantizedLinearMethod', 'state': 'quantized', 'weight_dtype': 'torch.bfloat16'}, 'state': 'quantized'}]}, 'state': 'quantized', 'static': {'ignored': True, 'lm_head_dtypes': {'model.language_model.embed_tokens.weight': 'BF16'}, 'lm_head_keys': [], 'output_weight_keys': ['model.language_model.embed_tokens.weight'], 'packed_keys': [], 'quant_method': 'modelopt', 'state': 'unquantized', 'tie_word_embeddings': True}} |
+
+## Error by context depth
+
+| Position range | Positions | Mean KLD |
+|---|---|---|
+| 0–511 | 393216 | 1.47572069 |
+| 512–1023 | 393216 | 1.59716495 |
+| 1024–1535 | 393216 | 1.91924180 |
+| 1536–2046 | 392448 | 2.29460506 |
+
+## Error by reference confidence
+
+| Reference top-1 probability | Positions | Share | Mean KLD |
+|---|---|---|---|
+| [0.00, 0.25) | 113173 | 7.2% | 3.55518690 |
+| [0.25, 0.50) | 290937 | 18.5% | 2.68491381 |
+| [0.50, 0.75) | 308489 | 19.6% | 2.15374741 |
+| [0.75, 0.95) | 318287 | 20.2% | 1.72234942 |
+| [0.95, 1.00) | 541210 | 34.4% | 0.86361449 |
+
+## Top-K set agreement
+
+| K=1 | K=2 | K=3 | K=4 | K=5 |
+|---|---|---|---|---|
+| 57.7383% | 22.1798% | 6.8148% | 1.7984% | 0.4514% |
+
+## Law compliance
+
+Zero baseline: reference against itself scored **0.00000000** over 2047 positions.
+
+| Law | Name | Status | Detail |
+|---|---|---|---|
+| 1 | Zero baseline | PASS | self-KLD exactly 0.0 over 2047 positions |
+| 2 | Determinism | PASS | eager enforced; prefix caching off, max_num_seqs=1 |
+| 3 | Frozen input | PASS | token hash matches suite gemma4-31b-it-fidelity-1024x2048-v1 [analysis]: 81d66409b44937fa |
+| 4 | Real vocabulary | PASS | scored 262144 real tokens of 262144 declared (0 padding rows) |
+| 5 | Manifest binding | PASS | all bound fields present; manifest 395c569193357bb7f32e750fa94d4156797bef41dc8f46f13370aca8764f4097 |
+| 6 | Provenance | PASS | torch 2.13.0+cu132, vLLM 0.1.dev20446+gb2bc9171d @ f4cee453bfd3, driver 580.173.02, 4 GPU(s) |
+| 7 | Storage integrity | PASS | hidden storage with bitwise-exact replay |
+| 8 | Head transparency | PASS | trunk 1.80890500, deployed 1.82145209, delta 0.012547087473592455 |
+| 9 | Tail and depth disclosure | PASS | mean 1.82145209, median 0.67562807, max 49.11124802, 4 depth buckets |
+| 10 | Comparability | PASS | comparability key fully resolved |
+| 11 | Freeze before qualification | NOT_APPLICABLE | partition is 'analysis' |
+| 12 | Reusable reference | PASS | suite, reference, head, and checksums present; published reference matches the scored capture on every bound field |
+| 14 | Component attribution | PASS | experts 0.65884572, router weights unquantized; selections changed at 74.441% of (token, layer) choices; ranking floor undefined: every scored position rerouted, so no held-routing population remains to compare against |
+| 15 | Domain disclosure | PASS | 10 domains disclosed; weakest other_multilingual at 2.41123759, strongest code_docs_issues at 1.37812061, spread 1.7x |
+| 16 | Candidate weight binding | PASS | scored weights df8f9c4ae95af181 as inspected |
+| 13 | Recorded deviation | PASS | no overrides claimed |
+
+## Environment
+
+| Item | Value |
+|---|---|
+| Host | d011sd01 |
+| Platform | Linux-6.8.0-137-generic-x86_64-with-glibc2.39 |
+| Python | 3.12.3 |
+| vLLM | 0.1.dev20446+gb2bc9171d |
+| vLLM commit | f4cee453bfd38b1afcb8e983517c385e426ec488 |
+| torch | 2.13.0+cu132 |
+| torch CUDA runtime | 13.2 |
+| cuDNN | 9.20.0 (92000) |
+| NCCL | 2.29.7 |
+| CUDA arch list | sm_75, sm_80, sm_86, sm_90, sm_100, sm_120 |
+| nvcc | Cuda compilation tools, release 13.0, V13.0.88 |
+| gcc | gcc (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0 |
+| glibc / ldd | ldd (Ubuntu GLIBC 2.39-0ubuntu8.8) 2.39 |
+| NVIDIA driver | 580.173.02 |
+| float32 matmul precision | highest |
+| TF32 (matmul / cuDNN) | False / True |
+| torch deterministic algorithms | False |
+
+### GPUs
+
+| Index | Device | Compute capability | Memory | SMs |
+|---|---|---|---|---|
+| 0 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 1 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 2 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 3 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+
+### Captured environment variables
+
+Every set variable matching the prefixes the capture watches: `VLLM_`, `TORCH`, `PYTORCH`, `CUDA`, `CUBLAS`, `NCCL`, `TRITON`, `FLASHINFER`, `OMP_`, `MKL_`, `HF_`, `SAFETENSORS_`. Any of these can move a bitwise result, so they are part of the identity.
+
+Credential values are never published. Set but redacted: `HF_TOKEN`.
+
+| Variable | Value |
+|---|---|
+| `CUDA_HOME` | `/usr/local/cuda-13.0` |
+| `HF_TOKEN` | `<redacted>` |
+
+## Files in this artifact
+
+Paths are relative to the artifact root, the same paths `checksums.txt` uses. Verify the whole tree with `sha256sum --check checksums.txt` from that root.
+
+| Path | Size | What it is |
+|---|---|---|
+| `Gemma-4-26B-A4B-it-NVFP4/report.md` | 20.23 KiB | This document. |
+| `Gemma-4-26B-A4B-it-NVFP4/report.json` | 252.18 KiB | Every statistic behind it, machine-readable: per-bucket means, percentiles, agreement rates, and the phase timings. |
+| `Gemma-4-26B-A4B-it-NVFP4/manifest.json` | 85.83 KiB | The capture manifest this result is bound to (Law 5). Scoring refuses to run if the live configuration differs from it. |
+| `Gemma-4-26B-A4B-it-NVFP4/compliance.json` | 34.62 KiB | The law-by-law receipt, including the comparability key. |
+| `baselines/self-kld.json` | 4.76 KiB | The zero-baseline proof required by Law 1: the reference scored against a capture of itself. |
+| `suite/suite-manifest.json` | 382.61 KiB | The frozen evaluation input's identity: token hashes per context and per partition, sources, strata, and the analysis/qualification split. |
+| `suite/tokens` | 17.32 MiB in 1024 files | The token IDs themselves. These are the evaluation input, not a description of it; retokenizing source text does not reproduce them. |
+| `suite/sources.json` | 737.48 KiB | Per-context provenance: dataset, revision, licence, source unit, and the deterministic token offset chosen within the document. |
+| `suite/validation/capability-overlap.json` | 1.48 KiB | The benchmark-contamination scan and every document it blocked. |
+| `reference/manifest.json` | 85.83 KiB | The reference capture's own manifest: geometry, vocabulary, storage mode, and a hash for every tensor file. |
+| `reference` | 11.62 GiB in 771 files | The reusable reference distributions. Pass this directory as `--reference-logits` to score a new candidate against the same reference without loading the reference checkpoint. |
+| `reference/lm_head.safetensors` | 1.38 GiB | The reference language-model head, which turns the stored hidden states back into reference logits. |
+| `environment/runtime.json` | 2.26 KiB | Machine-readable provenance: torch, CUDA, cuDNN, NCCL, driver, devices, and the captured environment variables. |
+| `environment/summary.md` | 1.10 KiB | The same provenance as prose, plus an index of every captured file. |
+| `environment/toolchain-nvcc.txt` | 243 B | `nvcc --version` verbatim; `toolchain-gcc.txt` and `toolchain-ldd.txt` sit beside it. |
+| `environment/gpu-smi-query.txt` | 54.73 KiB | `nvidia-smi -q` verbatim: ECC state, persistence mode, clocks, and throttle reasons, any of which can move a bitwise result. |
+| `environment/pip-freeze.txt` | 4.31 KiB | Every installed package version in the scoring environment. |
+| `environment/models` | 11.35 KiB in 7 files | Checkpoint fingerprints: file listing, sizes, config and tokenizer hashes, and `config.json` verbatim for each model scored. |
+| `checksums.txt` | 191.21 KiB | `sha256sum --check` compatible over every other file here. This is authoritative for integrity (Law 12). |
+| `LAWS.md` | 29.81 KiB | The laws this artifact was produced under, including the override procedure. |
+
+## Scope
+
+This artifact measures teacher-forced next-token distribution fidelity at the stated context length, over the stated token suite, through the stated runtime. It does not measure free-running generation, benchmark accuracy, instruction following, long-context behavior beyond the suite's context length, multimodal behavior, tool use, or throughput.
+
+Per Law 10, these numbers are comparable only to numbers produced from the same suite, geometry, and runtime identity. A KLD threshold borrowed from another model, corpus, tokenizer, or serving stack carries no verdict here.

Gemma-4-26B-A4B-it-NVFP4/strata.json

@@ -0,0 +1,1780 @@
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+        },
+        "key": "chinese",
+        "label": "Chinese across several content types",
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+      {
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+        "key": "news_history_legal_essays",
+        "label": "News, history, economics, legal analysis, and essays",
+        "relative_to_run": 0.9806150292155044
+      },
+      {
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+        },
+        "key": "literary_narrative",
+        "label": "Literary, narrative, and creative writing",
+        "relative_to_run": 0.9168555547494017
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+      {
+        "cells": {
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+            "worst_context_id": 716,
+            "worst_context_kld": 1.8106487469337653
+          }
+        },
+        "key": "worked_math_reasoning",
+        "label": "Worked mathematics, science, and formal reasoning",
+        "relative_to_run": 0.8511091812008672
+      },
+      {
+        "cells": {
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+            "worst_context_id": 1016,
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+          "deployed": {
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+            "worst_context_id": 1001,
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+        },
+        "key": "structured_data_tools",
+        "label": "Structured data, tool calls, APIs, JSON, and tables",
+        "relative_to_run": 0.8089896145419997
+      },
+      {
+        "cells": {
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+            "worst_context_id": 658,
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+            "worst_context_id": 635,
+            "worst_context_kld": 1.8701465055601982
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+        },
+        "key": "code_docs_issues",
+        "label": "Source code, tests, technical documentation, and issue discussions",
+        "relative_to_run": 0.7566054670740489
+      }
+    ]
+  },
+  "overall": {
+    "all_quantized": {
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+      "max_kld": 42.83122253417969,
+      "mean_kld": 1.4355058325437036,
+      "mean_ref_top1_prob": 0.72091871112155,
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+      "worst_context_id": 942,
+      "worst_context_kld": 3.2817656972546416
+    },
+    "deployed": {
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+      "worst_context_id": 946,
+      "worst_context_kld": 5.581704311293557
+    },
+    "mxfp8": {
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+      "positions": 1572096,
+      "top1_agreement": 0.8047657394968246,
+      "worst_context_id": 216,
+      "worst_context_kld": 1.6596375001742996
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+    "nvfp4": {
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+      "max_kld": 35.18211364746094,
+      "mean_kld": 0.6588457176668272,
+      "mean_ref_top1_prob": 0.72091871112155,
+      "median_context_kld": 0.6296393578504391,
+      "median_context_p99": 7.511585235595703,
+      "p90_context_kld": 1.1252841317147846,
+      "positions": 1572096,
+      "top1_agreement": 0.7603428798241328,
+      "worst_context_id": 346,
+      "worst_context_kld": 2.0271412242925955
+    }
+  },
+  "primary": "deployed"
+}

Gemma-4-26B-A4B-it-NVFP4/strata.md

@@ -0,0 +1,68 @@
+# Fidelity by domain - gemma-4-26B-A4B-it / Gemma-4-26B-A4B-it-NVFP4
+
+768 contexts, 1572096 scored positions, mean 1.82145209, reference top-1 72.1%, top-1 agreement 57.7764%.
+
+`x run` is the domain's mean divided by the run's mean, so 1.00 is a domain that degrades exactly as much as the model as a whole. `Median ctx` and `p90 ctx` are the spread of per-context means within the domain.
+
+## Ranked by domain
+
+| Domain | Contexts | Ref top-1 | Mean KLD | x run | Median ctx | p90 ctx | Worst ctx |
+|---|---|---|---|---|---|---|---|
+| Other multilingual content | 36 | 70.7% | 2.41123759 | 1.32 | 2.23211857 | 4.03276995 | 5.581704 |
+| Scientific and technical exposition | 96 | 69.8% | 2.07188929 | 1.14 | 2.10921476 | 2.77844550 | 3.667310 |
+| Natural dialogue, instruction following, and assistance | 96 | 77.3% | 2.07133975 | 1.14 | 2.12776986 | 3.18680546 | 4.341035 |
+| Encyclopedic and factual reference | 96 | 68.9% | 2.02103919 | 1.11 | 2.10006672 | 2.78464090 | 3.455698 |
+| Chinese across several content types | 72 | 63.3% | 1.90675926 | 1.05 | 1.91877540 | 2.71318768 | 3.648449 |
+| News, history, economics, legal analysis, and essays | 72 | 68.9% | 1.78614330 | 0.98 | 1.81839841 | 2.67031624 | 3.339949 |
+| Literary, narrative, and creative writing | 72 | 62.9% | 1.67000847 | 0.92 | 1.68502392 | 2.53983321 | 3.134604 |
+| Worked mathematics, science, and formal reasoning | 96 | 72.4% | 1.55025460 | 0.85 | 1.55192955 | 2.20596126 | 2.971370 |
+| Structured data, tool calls, APIs, JSON, and tables | 36 | 83.3% | 1.47353583 | 0.81 | 1.35232974 | 2.37419744 | 3.463723 |
+| Source code, tests, technical documentation, and issue discussions | 96 | 84.2% | 1.37812061 | 0.76 | 1.38779361 | 2.06221198 | 2.709194 |
+
+## The same domains across the ladder
+
+Each column is a separate measurement of the same contexts, so a domain that moves between columns is one the format treats differently.
+
+| Domain | deployed | mxfp8 | nvfp4 | all_quantized |
+|---|---|---|---|---|
+| Other multilingual content | 2.41123759 | 0.60547717 | 0.83417492 | 1.78787763 |
+| Scientific and technical exposition | 2.07188929 | 0.49939479 | 0.69630321 | 1.64129071 |
+| Natural dialogue, instruction following, and assistance | 2.07133975 | 0.59360268 | 0.81214064 | 1.63223190 |
+| Encyclopedic and factual reference | 2.02103919 | 0.48326683 | 0.70706639 | 1.60899741 |
+| Chinese across several content types | 1.90675926 | 0.46550453 | 0.68079090 | 1.42905706 |
+| News, history, economics, legal analysis, and essays | 1.78614330 | 0.46316973 | 0.63722594 | 1.41930026 |
+| Literary, narrative, and creative writing | 1.67000847 | 0.39760530 | 0.61395641 | 1.34757069 |
+| Worked mathematics, science, and formal reasoning | 1.55025460 | 0.39846297 | 0.55025835 | 1.22613314 |
+| Structured data, tool calls, APIs, JSON, and tables | 1.47353583 | 0.48035757 | 0.61317963 | 1.19883758 |
+| Source code, tests, technical documentation, and issue discussions | 1.37812061 | 0.36808736 | 0.51325925 | 1.10842929 |
+
+## Ranked by source dataset
+
+| Source | Contexts | Ref top-1 | Mean KLD | x run | Median ctx | p90 ctx | Worst ctx |
+|---|---|---|---|---|---|---|---|
+| wikipedia_ru | 6 | 68.3% | 3.38886080 | 1.86 | 3.98912323 | 4.10826562 | 4.108266 |
+| wikipedia_cs | 6 | 70.6% | 3.26646912 | 1.79 | 3.49166074 | 5.58170431 | 5.581704 |
+| wikipedia_fr | 3 | 69.4% | 2.24969088 | 1.24 | 2.37181496 | 2.45555080 | 2.455551 |
+| wikipedia_de | 7 | 77.2% | 2.23502412 | 1.23 | 2.18519669 | 2.50709636 | 2.507096 |
+| wikipedia_zh | 39 | 62.4% | 2.07645880 | 1.14 | 2.30724996 | 2.72896037 | 3.648449 |
+| scientific_papers | 96 | 69.8% | 2.07188929 | 1.14 | 2.10921476 | 2.77844550 | 3.667310 |
+| wildchat | 96 | 77.3% | 2.07133975 | 1.14 | 2.12776986 | 3.18680546 | 4.341035 |
+| wikipedia_en | 96 | 68.9% | 2.02103919 | 1.11 | 2.10006672 | 2.78464090 | 3.455698 |
+| open_news | 23 | 66.5% | 1.99756468 | 1.10 | 1.99813905 | 3.23137990 | 3.339949 |
+| wikipedia_ja | 7 | 69.8% | 1.77828003 | 0.98 | 1.80078534 | 2.20757728 | 2.207577 |
+| public_domain_review | 26 | 64.7% | 1.73512783 | 0.95 | 1.63754280 | 2.54317120 | 3.112111 |
+| wikipedia_es | 7 | 67.9% | 1.71862459 | 0.94 | 2.17044227 | 2.83146839 | 2.831468 |
+| wikisource_zh | 33 | 64.5% | 1.70620526 | 0.94 | 1.70956215 | 2.40352639 | 2.900391 |
+| public_domain_books | 72 | 62.9% | 1.67000847 | 0.92 | 1.68502392 | 2.53983321 | 3.134604 |
+| regulations | 23 | 76.1% | 1.63239157 | 0.90 | 1.81839841 | 2.41546904 | 3.094843 |
+| libretexts | 96 | 72.4% | 1.55025460 | 0.85 | 1.55192955 | 2.20596126 | 2.971370 |
+| starcoder_structured | 36 | 83.3% | 1.47353583 | 0.81 | 1.35232974 | 2.37419744 | 3.463723 |
+| stackv2 | 44 | 80.0% | 1.41491288 | 0.78 | 1.49743561 | 2.10726180 | 2.365708 |
+| github_code | 52 | 87.8% | 1.34698869 | 0.74 | 1.27752546 | 2.03829905 | 2.709194 |
+
+## Reading
+
+- Weakest domain: **Other multilingual content** at 2.41123759, 1.32x the run mean of 1.82145209 over 36 context(s).
+- Strongest domain: **Source code, tests, technical documentation, and issue discussions** at 1.37812061, 0.76x the run mean. The spread across domains is 1.7x.
+- Every cell is weakest on the same domain (Other multilingual content), so the ranking is a property of the model and the text rather than of one format.
+

LAWS.md

@@ -0,0 +1,561 @@
+# Local Inference Lab — Distribution Fidelity Laws
+
+**Laws version:** 8
+**Status:** draft, pending coordination with `local-inference-lab` on the
+publication namespace and suite format.
+
+Version 2 adds Law 14. A receipt at version 1 says nothing about component
+attribution either way, so a version-1 result for a routed model is not a
+version-2 result and should be rescored rather than relabeled.
+
+Version 3 adds Law 15. A version-2 result reports one mean over a suite built
+from a dozen kinds of text and never says which of them the divergence landed
+on, so it cannot be rebadged as version 3; the per-context records Law 15 reads
+come from the scoring run itself.
+
+Version 4 changes what Law 14 means. Versions 2 and 3 took the router weight cell
+as the routing term and its ranking floor. That was wrong: routing changes because
+the activations reaching an identical router changed, so a checkpoint shipping a
+BF16 router reported a floor of zero while its routing term was not zero. Version
+4 requires the routing term to be measured from the run's own expert selections
+and makes that measurement the floor. A version-2 or version-3 receipt for a
+routed model overstates how comparable two candidates are and must be rescored,
+not relabeled.
+
+Version 5 tightens Law 12. Versions 1 through 4 checked that a reference was
+published, not that it was the reference the number came from, and an artifact
+shipped with reference tensors bound to different tokens and a different row count
+than the candidate beside them. Every other law passed, because they read the
+candidate's manifest and never the one published with the tensors. Unlike the
+earlier version changes this one is a relabeling, not a rescore: the measurement
+is unaffected, so a version-4 artifact becomes a version-5 artifact by
+reassembling it and passing the new check.
+
+Version 6 changes what Law 14 cells match. Versions 2 through 5 selected
+weights by component name pattern and rounded every match, so a mixed-precision
+checkpoint that quantized only some attention or expert weights produced a
+composite cell heavier than the deployment it claimed to decompose. Version 6
+matches per tensor. Because a reference may fuse what a pack names separately —
+one `experts.gate_up_proj` stack against a quantized pack's per-expert names —
+each quantized name is resolved to the reference tensor that carries it, and a
+fused tensor the pack covers only in part is refused rather than rounded whole.
+A version-5 receipt for a partly quantized candidate is not a version-6
+receipt and must be rescored, not relabeled.
+
+Version 7 separates a saturated routing measurement from an absent one. Versions
+2 through 6 failed Law 14 whenever the routing excess was null and advised a
+rescore with `--measure-routing`, which was the right advice for a run that
+never measured routing and useless for one where every scored position rerouted
+or none did. Both of those are measurement outcomes a rescore reproduces
+exactly. Version 7 states which case holds and publishes a saturated candidate
+with its deployed mean marked unranked. This is a relabeling, not a rescore: a
+version-6 receipt becomes a version-7 receipt by reassembling it.
+
+Version 8 adds Law 16. Versions 1 through 7 bound a report to its tokens, its
+capture, and its reference, and never to the candidate weights themselves: the
+report named a directory, and nothing said what that directory held when it was
+read. Two candidates in one campaign then published the same mean from different
+checkpoints, which is only possible if one was scored against the other's
+weights, and every law passed. Version 8 requires the digest of the scored
+tensors on the report and refuses a family in which distinct weights produced an
+identical mean. A version-7 report whose weights were released cannot be bound
+after the fact; it publishes under a recorded Law 13 deviation saying so, or it
+is rescored.
+
+These laws govern every distribution-fidelity measurement this program
+publishes. They are not guidance. The pipeline refuses to produce or upload an
+artifact that violates one, and the only way past a refusal is a recorded,
+named human approval that is then printed beside every number the campaign
+produced (Law 13).
+
+Each law states what is required, why, the automated check that enforces it,
+and whether an override is permitted at all.
+
+## What this program measures
+
+Teacher-forced next-token distribution fidelity: how closely a candidate
+checkpoint reproduces a reference checkpoint's output distribution over a frozen
+set of token IDs, measured as `KL(reference || candidate)` over the tokenizer's
+real vocabulary.
+
+## What this program does not measure
+
+Free-running generation quality, benchmark accuracy, instruction following,
+long-context behavior beyond the suite's context length, multimodal behavior,
+tool use, or throughput. A fidelity number is evidence about one property. It is
+not a quality verdict, and Law 10 forbids presenting it as one.
+
+## Versioning
+
+The laws are versioned as a whole. Every artifact records the laws version it
+was produced under. Changing a law's meaning increments the version; artifacts
+are never retroactively judged against a version they predate.
+
+---
+
+## Law 1 — Zero baseline
+
+**Required.** Every campaign begins by scoring the reference checkpoint against
+a capture of itself. The mean KLD must be exactly `0.0`, over every scored
+position, on the same runner and tensor-parallel size the campaign will use for
+its candidates.
+
+**Why.** Zero is the only self-evidently correct answer, so it is the only check
+that distinguishes a working measurement from a plausible-looking one. A
+pipeline that cannot reproduce a distribution it just produced cannot be trusted
+to attribute a difference to quantization.
+
+**Check.** `mean_kld == 0.0` exactly — not rounded, not below a threshold — in
+the self-comparison report, with `num_positions` equal to
+`rows * (context_length - 1 - score_from)`.
+
+**Override.** Permitted only under Law 13, and only with all three of:
+
+1. a named approval recorded before any candidate is scored;
+2. a repeat-capture study, in which the reference is captured three times over
+   the identical tokens and all three pairwise comparisons are scored, which
+   establishes the magnitude of the nondeterminism the campaign is carrying;
+3. headline disclosure. The non-zero baseline and the widest pairwise repeat
+   spread appear in the artifact's opening section, not a footnote, and every
+   candidate mean in the campaign is annotated with the floor it sits above.
+
+A candidate difference no larger than the repeat spread is not a result. Under an
+override, ranking two candidates requires repeated candidate capture as well.
+
+## Law 2 — Determinism
+
+**Required.** Eager execution enforced. No autotuned kernel selection, no
+inference-time JIT kernel selection, no CUDA graphs, prefix caching disabled,
+and a fixed `max_num_seqs`. Tensor-parallel size is recorded, and reference and
+candidate are scored under identical settings.
+
+**Why.** Timing-based autotuners and JIT kernel choice make the arithmetic a
+function of machine load, which silently converts run-to-run noise into apparent
+quantization error. Programs that skip this are forced to spend statistical
+machinery resolving differences smaller than their own noise floor. Determinism
+is what makes Law 1's exact zero attainable.
+
+**Check.** `enforce_eager` true in the capture manifest and the live config;
+prefix caching disabled; compiled runs are labeled `authoritative: false` and
+are rejected from any published comparison.
+
+**Override.** Not permitted for published numbers. Compiled runs may be recorded
+as exploratory and must be labeled as such.
+
+## Law 3 — Frozen input
+
+**Required.** Comparisons consume stored token IDs from a published suite.
+Never text retokenized at run time.
+
+**Why.** Tokenizer versions, normalization, and concatenation policy all change
+the token stream, and a changed token stream changes the number while looking
+identical in the command line. Stored IDs make the input an auditable object.
+
+**Check.** The SHA-256 of the scored token IDs matches the suite manifest and
+the capture manifest. Mismatch aborts before any model loads.
+
+**Override.** Not permitted. A different token set is a different artifact.
+
+## Law 4 — Real vocabulary
+
+**Required.** KLD is computed over the tokenizer's actual vocabulary. Output
+rows that exist only as alignment padding are never scored. The scored width is
+published as `kld_vocab_size`.
+
+**Why.** Padding rows carry no token ID and can never be emitted. Scoring them
+measures how two checkpoints treat dead weights, and because padding size is a
+per-checkpoint alignment choice, including it makes checkpoints incomparable for
+reasons invisible in the output.
+
+**Check.** `kld_vocab_size` equals the tokenizer's unpadded vocabulary size and
+is strictly less than or equal to the checkpoint's declared `vocab_size`.
+
+**Override.** Not permitted.
+
+## Law 5 — Manifest binding
+
+**Required.** A reference capture binds itself to the tokenizer identity, token
+hash, context length, row count, `score_from`, scored vocabulary size, tensor
+parallel size, eager mode, and runtime identity. Scoring against a capture whose
+manifest disagrees with the live configuration aborts.
+
+**Why.** Reusing a capture across configurations is the easiest way to publish a
+number that compares two different things. The binding must fail closed, because
+a coerced comparison is indistinguishable from a valid one in the output.
+
+**Check.** Every bound field matches, and a capture directory lacking a manifest
+is refused rather than inferred.
+
+**Override.** Not permitted. Changing a bound field mints a new capture.
+
+## Law 6 — Provenance
+
+**Required.** No number publishes without its environment report: host and
+kernel, GPU inventory with driver, VBIOS, ECC mode, persistence mode and clock
+limits, CUDA toolchain, torch and vLLM versions with the exact commit, the
+resolved interpreter, the full installed package set, and content hashes for
+every checkpoint involved.
+
+**Why.** A fidelity number is a property of a checkpoint measured through a
+stack. Kernel selection, driver version, and even ECC state can move a bitwise
+result, so a number without its stack cannot be reproduced or defended.
+
+**Never a credential.** Provenance records that a variable was set, never a
+credential's value. The watched prefixes put `HF_TOKEN` in the same namespace as
+`HF_HOME`, so a variable with a whole name-word of `TOKEN`, `KEY`, `SECRET`,
+`PASSWORD`, `AUTH`, `COOKIE`, or `SESSION` is recorded with its value replaced.
+Redaction applies at capture, again at rendering, and again as a refusal to upload,
+because
+a published credential cannot be unpublished.
+
+**Not reused across a moving tree.** The environment report is recaptured whenever
+the repository's HEAD differs from the commit it recorded, and republished into
+every model root on each assembly. A capture carried forward describes a stack that
+did not produce the numbers beside it, which is the failure this law exists to
+prevent and the one hardest to notice, because every field is populated and every
+check passes.
+
+**Check.** The artifact contains an environment report whose GPU, driver, torch,
+vLLM, and commit fields are populated, and whose recorded checkpoint hashes match
+those referenced by the reports. Publication additionally scans every text file in
+the artifact, refusing on a recognizable credential shape or on a field whose name
+is exactly a credential's name and still carries a value, and that refusal cannot
+be overridden or skipped.
+
+**Override.** Not permitted.
+
+## Law 7 — Storage integrity
+
+**Required.** Reference distributions may be stored as hidden states plus a
+language-model head only when a replay probe proves, on that same capture, that
+replaying the stored hidden states through the stored head reproduces the live
+logits bitwise. Otherwise full logits are stored.
+
+**Why.** Hidden-state storage is what makes a reusable multi-thousand-context
+reference affordable, but it is only valid if replay is exact. An approximate
+replay silently adds a floor to every candidate comparison built on it.
+
+**Check.** The capture manifest's replay probe records bitwise identity. Hidden
+storage without an exact probe is refused at capture and again at scoring.
+
+**Override.** Not permitted. Fall back to logits storage instead.
+
+## Law 8 — Head transparency
+
+**Required.** Every comparison reports both trunk KLD, computed by pushing the
+candidate's hidden states through the reference's language-model head, and
+deployed KLD, computed through the candidate's own head.
+
+**Why.** Head quantization and trunk error are different defects with different
+remedies. Reporting only the deployed number conflates them, and reporting only
+the trunk number hides a quantized head entirely.
+
+**Check.** Both values present, along with the non-additive delta between them
+and the detected head state for reference and candidate.
+
+**Override.** Permitted under Law 13 when the candidate's head is proven
+bit-identical to the reference's, in which case the delta is necessarily zero and
+the second scoring pass buys no information.
+
+## Law 9 — Tail and depth disclosure
+
+**Required.** A published mean is always accompanied by median, p90, p99, and
+maximum, by the per-position-depth profile, and by top-1 agreement.
+
+**Why.** The mean and the tail can rank candidates in opposite directions. A
+checkpoint can be more faithful at the typical position and far worse at rare
+ones, and a checkpoint whose error accumulates with context depth looks fine at
+short context. Publishing the mean alone hides both failure modes.
+
+**Check.** All of `median_kld`, `p90_kld`, `p99_kld`, `max_kld`, depth buckets,
+and `top1_agreement` present in the report and rendered in the one-pager.
+
+**Override.** Not permitted.
+
+## Law 10 — Comparability
+
+**Required.** Numbers compare only against numbers produced from the identical
+suite, geometry, and runtime identity. No threshold imported from another model,
+corpus, tokenizer, vocabulary, or serving stack carries a verdict. No fidelity
+number is presented as a capability, accuracy, or general quality claim.
+
+**Why.** KLD has no absolute scale. Its value depends on the corpus, the context
+depth distribution, the vocabulary width, and the runtime. Cross-harness
+comparison is the single easiest way to publish a confident falsehood.
+
+**Check.** Each result records its suite ID, geometry, laws version, and runtime
+manifest hash. The leaderboard groups strictly by that tuple and refuses to place
+rows from differing tuples in one ranking. The suite identity is read from what the
+scoring run recorded, never from a suite manifest supplied to the audit, or a run
+that tokenized at run time reports a complete key by borrowing the identity of a
+suite it never opened.
+
+**Override.** Not permitted.
+
+## Law 11 — Freeze before qualification
+
+**Required.** The suite is partitioned into analysis and qualification contexts.
+Quantization parameters, layer assignments, and acceptance thresholds are frozen
+on analysis results and recorded before any qualification result is read.
+
+**Why.** Tuning against the set you report on converts a measurement into a
+fitting exercise. The freeze receipt is what makes a qualification number an
+out-of-sample claim.
+
+**Check.** A freeze receipt exists, is timestamped before the qualification run,
+and hashes the frozen parameters. Qualification scoring refuses to run without
+it.
+
+**Override.** Permitted under Law 13 for exploratory work, which may never be
+published as a qualification result.
+
+## Law 12 — Reusable reference
+
+**Required.** A published artifact includes everything a third party needs to
+score a new candidate without loading the reference checkpoint: the token suite,
+the reference distributions, the language-model head, every manifest, and the
+comparator configuration. File hashes are published for all of it.
+
+The published reference must be bound to the same identity the report was scored
+against, on every field Law 5 binds. Shipping the files is not enough; they have
+to be the files the number came from.
+
+**Why.** A fidelity claim that only its author can reproduce is an assertion, not
+evidence. Publishing the reference also removes the largest cost from anyone
+else's comparison, which is what makes independent replication realistic.
+
+The identity clause exists because presence and reusability are different
+properties, and an artifact once shipped with reference tensors describing
+different tokens and a different row count than the candidate beside them. Every
+other law passed, because they all read the candidate's manifest rather than the
+one published with the tensors. A reader reusing that reference gets an abort at
+best and needs the reference checkpoint after all, which is the one thing this law
+exists to prevent.
+
+**Check.** The artifact contains the suite, reference tensors, head, manifests,
+and a `checksums.txt` covering every file, and the checksums verify. The manifest
+published under `reference/` agrees with the scored capture manifest on every
+bound field: token hash, tokenizer, context length, rows, start offset, comparator
+vocabulary size, tensor-parallel degree, eager mode, and runtime.
+
+**Override.** Permitted under Law 13 where redistribution of a derivative is
+restricted by the reference checkpoint's license, in which case the artifact
+records the restriction and publishes hashes so a locally regenerated reference
+can be verified against ours.
+
+## Law 13 — Recorded deviation
+
+**Required.** Any override permitted above requires a named human approver, a
+written justification, and a timestamp, recorded in the artifact's compliance
+receipt. The deviation is then displayed on the one-pager next to the affected
+numbers, not in a footnote.
+
+**Why.** Fail-closed enforcement is only meaningful if the escape hatch is
+auditable. An override that is invisible in the published artifact is
+indistinguishable from a bug.
+
+**Check.** Every compliance receipt entry with status `override` carries
+`approver`, `justification`, and `timestamp`, and the one-pager renders them.
+
+**Override.** None. This law has no exceptions.
+
+## Law 14 — Component attribution on routed models
+
+**Required.** For a checkpoint that routes tokens to experts, a fidelity number
+does not publish as a single mean. The artifact carries, measured on the same
+tokens against the same reference and at the deployed checkpoint's own scheme and
+granularity:
+
+1. the **expert cell** — the reference with only its expert weights rounded
+   through the deployed scheme;
+2. the **measured routing divergence** — the candidate's own expert selections
+   compared against the reference's over the same frozen tokens;
+3. the **router weight cell** — the reference with only its router rounded, or
+   `not_applicable` with inspection evidence when the deployed checkpoint leaves
+   the router unquantized;
+4. the **deployed cell** — the candidate as it ships.
+
+**Why.** Routing cost saturates, and a saturating term cannot rank anything. A
+perturbation changes an expert selection only when it crosses a near-tie, so the
+count of changed selections is governed by how many near-ties the model has, not
+by how large the perturbation was. Measured on one MoE checkpoint, NVFP4 and
+MXFP8 expert weights differed by a factor of 36 (0.1065 against 0.0030), while the
+deployed means differed by a factor of 1.2 (0.2534 against 0.2119), because a
+routing term near 0.20 dominated both. A reader given only the deployed means
+would conclude the two formats are nearly equivalent. They are not.
+
+**Routing is not router precision.** The mechanism is the activations arriving at
+the router, not the router's own weights. A checkpoint that ships its router in
+BF16 has a bit-identical router and still selects different experts, because
+quantized attention and quantized experts upstream have already moved the
+residual stream. It follows that the router weight cell is not the routing term
+and cannot stand in for it: on such a checkpoint that cell is exactly zero while
+routing divergence is not. The cell is retained only as the evidence that router
+weight precision is a red herring.
+
+It also follows that no quantize-dequantize cell is routing-free. Rounding any
+weight moves the residual stream, so every router downstream of it sees different
+inputs. An artifact must not describe a cell as holding routing fixed; each cell
+reports the share of its own selections that changed, which is what makes the
+claim checkable rather than assumed.
+
+**Measurement, not emulation.** The routing term is measured by recording the
+reference's selected experts per token and per layer, then comparing the
+candidate's selections over the same tokens. The artifact reports the share of
+(token, layer) selections that changed, the share of scored positions where any
+layer rerouted, the mean divergence at positions where routing held against
+positions where it changed, and how divergence grows with the number of rerouted
+layers.
+
+**Floor.** The floor is the excess the mean carries because rerouted positions
+diverge more than positions whose selection survived: the flipped fraction times
+the difference of the two means. It is a floor in the sense Law 1's repeat spread
+is a floor. Two candidates whose deployed means differ by less than it are not
+ranked by that difference, and an artifact that ranks them ranks them on the
+expert cell and says so in the same sentence as the claim.
+
+**A floor that is not a number.** The excess is undefined when one of its two
+populations is empty, and the two cases are opposites. If no position rerouted,
+routing cost nothing and the floor is zero. If every position rerouted, no
+held-routing population remains and the floor is unmeasurable — not small, and
+no rescore produces one, because the perturbation is large enough that routing
+divergence is the whole picture. Both satisfy this law when the run measured
+routing and the artifact states which case it is; what the law refuses is a
+routing measurement that never ran, and an artifact that omits the routing term
+so that saturation reads as zero cost. A saturated candidate publishes with its
+deployed mean marked unranked.
+
+**Naming.** Cells are named for the component that carries the error, never as
+`B×Q` or `Q×B`. That notation does not say which factor is the router, and two
+readers will order it two ways and mean opposite things by the same symbol. A cell
+is `expert_cell`, `router_cell`, or `composite_cell`, and a published artifact
+spells out what each one isolates.
+
+**Weight rounding is not the deployment.** A QDQ cell rounds weights and runs on
+BF16 kernels. A deployed checkpoint may also quantize activations and does use
+quantized kernels, so the artifact reports the deployed mean minus the composite
+cell. On one FP8 MoE checkpoint that term was 40% of the deployed mean, which no
+arrangement of weight-only cells can see. A component decomposition that omits it
+attributes a deployment to weight precision alone and understates it.
+
+**Ladder.** A campaign on a routed reference also scores the expert weights at
+each scheme on its ladder, not only at the deployed one. Ladder rungs are
+component-wide by construction: every expert weight is rounded, so the rungs
+differ only in format. The expert cell that decomposes the deployed mean matches
+per tensor and may therefore round a subset; it is not the deployed ladder rung.
+The cost of one more cell is a QDQ pass and a scoring run against a capture that
+already exists; the cost of not having it is a comparison nobody can make later
+without redoing the campaign.
+
+**Check.** For a reference whose capture manifest records declared experts, the
+compliance receipt requires an expert cell and a router weight cell, each naming
+the variant checkpoint and its QDQ manifest, and each carrying the same partition,
+token digest, and reference config digest as the deployed cell. A cell measured on
+other tokens is not a decomposition of this number and is rejected as one. The
+receipt also requires a measured routing term from the run itself; a routed
+candidate scored without one fails, and an unquantized router is not accepted as
+a reason to omit it.
+
+**Override.** Permitted under Law 13 for a dense checkpoint misdetected as routed,
+and for an exploratory result that is never published as a ranking. Not permitted
+for a published comparison between two quantization schemes, which is the case the
+law exists for.
+
+## Law 15 — Domain disclosure
+
+**Required.** When the suite is stratified, a result publishes its mean per
+stratum alongside the overall mean. Each stratum's row carries the number of
+contexts behind it, the position-weighted mean, the spread of per-context means
+within it, and the reference's own mean top-1 probability on it. Every stratum
+the run actually scored appears; a stratum is never dropped for being small or
+inconvenient.
+
+**Why.** A model does not lose fidelity uniformly across kinds of text. The suite
+is built from a dozen strata — encyclopedic reference, worked mathematics, source
+code, dialogue, Chinese, structured data and tool calls — precisely because a
+single corpus cannot represent a deployment. Averaging them back into one number
+throws away the only part of the measurement that answers the question a reader
+actually has, which is not "how far apart are these two models" but "how far
+apart are they on the work I am going to give them". Two candidates with the same
+mean are not interchangeable if one loses its fidelity on prose and the other on
+tool calls.
+
+**Confounding is disclosed, not resolved.** A stratum's KLD depends on how
+predictable its text is to begin with. The reference's top-1 probability is
+published beside every stratum mean so a reader can see the difference between a
+candidate that diverges most where the reference was already uncertain, which is
+weak evidence, and one that diverges most where the reference was confident,
+which is strong. The program does not normalize the means to hide this; it
+reports both numbers and says which case each stratum is.
+
+**Spread, because a stratum is tens of contexts.** A stratum holds tens of
+documents, not thousands, so one pathological document can carry it. The median
+and p90 of the per-context means, and the worst context's identity, are published
+with the mean. A stratum whose mean is four or more times its median is reported
+as driven by outlier contexts rather than as a weak domain.
+
+**Ladder.** Where Law 14 applies, the per-stratum table is also reported for the
+cells, so the artifact says whether a domain's weakness follows the model or the
+format. It is a different finding if NVFP4 is worst on code while FP8 is worst on
+mathematics than if both are worst on the same domain.
+
+**Check.** The compliance receipt requires per-context records in the report, one
+per scored row, each naming its suite context. Every scored context must be in
+the suite manifest, the published domain table must cover exactly the strata that
+were scored, and its per-stratum context counts must sum to the number of rows.
+A suite that declares fewer than two strata is `not_applicable`.
+
+**Override.** Permitted under Law 13 for an unstratified suite the manifest fails
+to describe, and for a zero-baseline or bounded-prefix run that is not published
+as a candidate measurement. Not permitted for a published candidate on a
+stratified suite.
+
+## Law 16 — Candidate weight binding
+
+**Required.** A published result carries a digest of the weights it scored, taken
+from the checkpoint at the moment it was read, and that digest must match the
+inspection of the candidate the artifact publishes. Within one family, two
+candidates whose digests differ must not report the same mean.
+
+**Why.** Every other binding in these laws points at the inputs a candidate was
+measured against — the tokens under Law 3, the capture under Law 5, the reference
+under Law 12 — and none of them points at the candidate. A report named a path,
+and a path is not evidence. A directory that was repopulated, or a scorer handed
+the wrong one of two similarly named checkpoints, produces a fully compliant
+artifact attributing one vendor's numbers to another's work. That is the worst
+error this program can make, because it is invisible: the number is real, the
+receipt is honest, and the name on it is wrong.
+
+**Digest, not a file list.** The bond is over tensor names, dtypes, and shapes,
+plus each shard's name and size, read from safetensors headers. It costs one
+header per shard rather than a pass over hundreds of gigabytes, and it cannot be
+preserved by a repack: a checkpoint that quantized one more layer, or stored a
+scale at a different width, is a different checkpoint under this digest. Two
+directories that share it hold the same weights, whatever their repos are called.
+
+**The same mean from different weights is refused, not explained.** Distinct
+quantizations of one reference do not land on an identical mean to eighteen
+digits; a suite of this size does not produce that coincidence. When it appears,
+one report was scored against the other's checkpoint, and nothing in the
+artifacts says which. Both results are withdrawn and rescored. The converse —
+two candidates sharing a digest — is not an error in the measurement but a fact
+about the upstream repositories: one is a verbatim re-upload of the other. It
+publishes once, and the artifact names the re-upload as such rather than
+presenting it as an independent quantization.
+
+**Check.** The compliance receipt requires `student_weights_sha256` on the report
+and an inspection of the published candidate carrying the same digest.
+Assembly refuses a family containing an identical mean across differing digests,
+and reports a shared digest as a duplicate.
+
+**Override.** Permitted under Law 13 only for a result scored before this law
+existed whose weights have since been released, where no digest can be recovered
+without a rescore. The deviation is printed beside the number, which then states
+that its weights are unbound. Not permitted for a new measurement, and never
+permitted for a refused identical mean.
+
+## Numbering
+
+Laws are append-only. A published receipt cites its laws by number, so renumbering
+would silently change what an existing artifact claims to have satisfied. A law
+that is superseded is marked as such and keeps its number.

Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/attribution.json

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Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/compliance.json

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Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/inspect.json

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Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/manifest.json

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+    "context_length": 2048,
+    "contexts": 768,
+    "limit": null,
+    "partition": "analysis",
+    "partition_token_sha256": "81d66409b44937fadcb5361f42b497543b6cfd377d7fb85c7dabdcd7afd57f32",
+    "recipe_id": "lil-fidelity-1024x2048-v1",
+    "suite_id": "gemma4-31b-it-fidelity-1024x2048-v1",
+    "suite_token_sha256": "9ef504c2d56e149b6bb6b08f0c593b4168b4b60d2657ef4497f543888810d192",
+    "tokenizer": {
+      "class": "GemmaTokenizer",
+      "name_or_path": "/media/fmodels2/google/gemma-4-31B-it",
+      "unpadded_vocab_size": 262144,
+      "vocab_size": 262144
+    }
+  },
+  "tokenizer": {
+    "actual_vocab_size": null,
+    "class": "GemmaTokenizer",
+    "special_tokens_map": {
+      "audio_token": "<|audio|>",
+      "boa_token": "<|audio>",
+      "boi_token": "<|image>",
+      "bos_token": "<bos>",
+      "eoa_token": "<audio|>",
+      "eoc_token": "<channel|>",
+      "eoi_token": "<image|>",
+      "eos_token": "<eos>",
+      "eot_token": "<turn|>",
+      "escape_token": "<|\"|>",
+      "etc_token": "<tool_call|>",
+      "etd_token": "<tool|>",
+      "etr_token": "<tool_response|>",
+      "image_token": "<|image|>",
+      "mask_token": "<mask>",
+      "pad_token": "<pad>",
+      "soc_token": "<|channel>",
+      "sot_token": "<|turn>",
+      "stc_token": "<|tool_call>",
+      "std_token": "<|tool>",
+      "str_token": "<|tool_response>",
+      "think_token": "<|think|>",
+      "unk_token": "<unk>"
+    },
+    "vocab_sha256": "2f396f1b9092280fd3138ba9f9ec8173650fdab98608975e1c13b1f5fc4f1227",
+    "vocab_size": 262144
+  }
+}

Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/provenance.json

@@ -0,0 +1,53 @@
+{
+  "reference": "/media/fmodels2/google/gemma-4-26B-A4B-it",
+  "candidate": "/media/fmodels2/Neural-ICE/Gemma-4-26B-A4B-it-NVFP4",
+  "ok": true,
+  "identity": {
+    "architectures": [
+      "Gemma4ForConditionalGeneration"
+    ],
+    "hidden_size": 2816,
+    "num_hidden_layers": 30,
+    "layer_types": [
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention"
+    ],
+    "vocab_size": 262144,
+    "intermediate_size": 2112,
+    "head_dim": 256
+  },
+  "differing": [],
+  "tokenizer_sha256": {
+    "reference": "cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f",
+    "candidate": "cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f",
+    "match": true
+  }
+}

Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/report.md

@@ -0,0 +1,296 @@
+# gemma-4-26B-A4B-it / Neural-ICE-Gemma-4-26B-A4B-it-NVFP4: distribution fidelity
+
+**Mean KLD(reference || candidate) = 1.81298048** over 1572096 scored positions.
+
+| Mean | Median | p90 | p99 | Max | Top-1 agreement |
+|---|---|---|---|---|---|
+| 1.81298048 | 0.67060030 | 5.16405010 | 13.26047492 | 48.53921509 | 57.8623% |
+
+Reverse direction, KLD(candidate || reference): 2.10446417.
+
+## Identity
+
+| Item | Value |
+|---|---|
+| Reference checkpoint | /media/fmodels2/google/gemma-4-26B-A4B-it |
+| Reference config SHA-256 | ed0c1eb3633d |
+| Candidate checkpoint | /media/fmodels2/Neural-ICE/Gemma-4-26B-A4B-it-NVFP4 |
+| Candidate weights SHA-256 | 16029a9fa15ce779 |
+| Suite | gemma4-31b-it-fidelity-1024x2048-v1 |
+| Suite token SHA-256 | 81d66409b44937fa |
+| Capture manifest SHA-256 | 395c569193357bb7 |
+| Tokenizer | None |
+| Scored vocabulary | 262144 |
+| Declared vocabulary | 262144 |
+| Geometry | 768 rows x 2048 tokens, stride 2048, score_from 0 |
+| Reference storage | hidden |
+| Model runner | V1 |
+| Tensor parallel | 1 |
+| Eager enforced | True |
+| Prefix caching | False |
+| max_num_seqs | 1 |
+| vLLM | 0.1.dev20446+gb2bc9171d |
+| vLLM commit | f4cee453bfd3 |
+| torch | 2.13.0+cu132 |
+| Driver | 580.173.02 |
+| GPUs | NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
+| Laws version | 8 |
+| Partition | analysis |
+
+## Component attribution
+
+This reference routes tokens to experts, so the deployed mean is not a single effect. Each cell is the reference with one component rounded through the deployed scheme and run on BF16 kernels, scored on the same tokens against the same capture. The cells do not sum to the deployed mean and are not meant to: once a token is routed elsewhere, degrading the expert it no longer uses costs nothing.
+
+No cell here holds expert selection fixed. Rounding any weight changes the residual stream, and every router downstream of that change sees different inputs, so each cell carries some routing movement of its own. What routing costs is measured directly under [Routing divergence](#routing-divergence), not inferred from these cells.
+
+### What the deployed checkpoint quantizes
+
+| Property | Value |
+|---|---|
+| Scheme | nvfp4 |
+| Block | 16 |
+| Weights on disk | n/a |
+| Declared method | modelopt |
+| Algorithm | modelopt |
+| Activation scheme | n/a |
+
+| Component | Quantized weights | Coverage |
+|---|---|---|
+| attention | 115 / 115 | all |
+| dense_mlp | 90 / 90 | all |
+| experts | 11520 / 11520 | all |
+| router | 0 / 30 | none |
+
+### Component cells
+
+| Cell | What it isolates | Mean KLD | Selections changed | Support |
+|---|---|---|---|---|
+| Experts only | expert weight precision | 0.65884572 | 50.5274% | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4.json) · [manifest](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4-qdq-manifest.json) |
+| Router weights only | router weight precision, not the routing term | n/a — router ships unquantized | n/a | [routing divergence](#routing-divergence) |
+| Every quantized component | experts, attention, dense_mlp, BF16 kernels | 1.43550583 | 67.7501% | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-attention-dense_mlp-nvfp4.json) · [manifest](attribution/gemma-4-26B-A4B-it-qdq-experts-attention-dense_mlp-nvfp4-qdq-manifest.json) |
+| Deployed | as shipped, quantized kernels | 1.81298048 | 74.4202% | [report.json](report.json) |
+
+Two terms sit outside every cell above, because no cell can hold them. They are the reason the deployed mean is not a precision measurement:
+
+| Term | Value | Share | What it is | Derived in |
+|---|---|---|---|---|
+| Beyond weight rounding | +0.37747464 | 21% of the deployed mean | activation quantization and kernel arithmetic | [Beyond weight rounding](#beyond-weight-rounding) |
+| Routing, measured | saturated | n/a | expert selection changed at 74.4202% of choices and every scored position rerouted, so no held-routing population remains to measure the excess against | [Routing divergence](#routing-divergence) |
+
+The selections column is why none of these cells is routing-free: each one reroutes some tokens purely as a consequence of rounding weights upstream of a router it never touched.
+
+### Beyond weight rounding
+
+**+0.37747464** (21% of the deployed mean). Every cell above rounds weights and runs on BF16 kernels. The deployed checkpoint differs from the composite cell by this much. The checkpoint quantizes weights only, so this term is kernel arithmetic. A weight-only analysis, which is what any QDQ cell is, cannot see it.
+
+The deployed checkpoint leaves the router in BF16, so router weight precision costs exactly nothing here. That is not the same as routing costing nothing: an identical router fed perturbed activations selects different experts, which is measured under [Routing divergence](#routing-divergence).
+
+Evidence: qdq.py --inspect Gemma-4-26B-A4B-it-NVFP4: router 0 of 30 weights quantized
+
+### Scheme ladder
+
+The same expert weights rounded through each scheme, which is the cell that discriminates between them. Ladder rungs hold that weight set fixed across schemes, so a deployed rung is not the expert cell above it when the checkpoint quantizes only some of those weights.
+
+| Scheme | Experts-only mean KLD | Variant | Support |
+|---|---|---|---|
+| fp8_block | not expressible |  |  |
+| mxfp8 | 0.46808904 | gemma-4-26B-A4B-it-qdq-experts-mxfp8 | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-mxfp8.json) |
+| nvfp4 | 0.65884572 | gemma-4-26B-A4B-it-qdq-experts-nvfp4 | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4.json) |
+
+`fp8_block` has no rung on this model: fp8_block lays scales on a 128-wide grid and model.language_model.layers.0.experts.down_proj is 128x2816x704, whose 704 is not a multiple of 128. Padding the weight to fit the grid would change the scales, so the rung is reported absent rather than measured under a layout no checkpoint deploys.
+
+Full cells, digests, and the deployed checkpoint's inspection are in [attribution.json](attribution.json).
+
+## Routing divergence
+
+Both runs saw the same tokens, and the candidate's routers are the reference's routers to the bit where the checkpoint leaves them unquantized. They still selected different experts, because the activations arriving at them were already perturbed. This section compares the two runs' recorded selections over 30 routed layers, 8 experts per token.
+
+| Measure | Rate | Of what |
+|---|---|---|
+| Selections changed | 74.4202% | of 47162880 (token, layer) choices |
+| Expert slots changed | 41.1154% | of individual expert slots |
+| Highest-weighted expert changed | 26.7752% | includes reordering within an unchanged selection |
+| Positions with any flip | 100.0000% | 1572096 of 1572096 scored positions |
+
+| Positions where | Mean KLD | Count |
+|---|---|---|
+| Routing held | n/a | 0 |
+| Routing flipped | 1.81298048 | 1572096 |
+
+**Ranking floor undefined.** Every one of the 1572096 scored positions rerouted in at least one layer, so there is no held-routing population to compare the flipped ones against. The floor is not small here, it is unmeasurable, and no rescore changes that: the perturbation is large enough that routing divergence is the whole picture rather than a correction to it. Rank against this candidate on the experts-only cell, and treat the deployed mean as unranked.
+
+Divergence rises with how many layers rerouted, which is what distinguishes a single reroute a later layer can absorb from a token that took a different path through the model:
+
+| Layers rerouted | Positions | Mean KLD |
+|---|---|---|
+| 4-7 | 16 | 2.22760546 |
+| 8+ | 1572080 | 1.81297626 |
+
+Per-layer selection change runs from 28.34% to 90.57% (worst at layer 29), averaging 44.54% across the first quarter of routed layers and 88.40% across the last. Rerouting that grows with depth is accumulated perturbation, not router precision.
+
+## Fidelity by domain
+
+The suite is stratified, so the mean above is an average over kinds of text that do not degrade equally. `x run` is a domain's mean divided by the run's, so 1.00 degrades exactly as much as the model overall. The reference's own top-1 probability is shown because a domain the reference finds harder will diverge more for that reason alone.
+
+| Domain | Contexts | Reference top-1 | Mean KLD | x run | Worst context |
+|---|---|---|---|---|---|
+| Other multilingual content | 36 | 70.7% | 2.36055674 | 1.30 | 4.95748827 |
+| Natural dialogue, instruction following, and assistance | 96 | 77.3% | 2.08054197 | 1.15 | 3.92764610 |
+| Scientific and technical exposition | 96 | 69.8% | 1.99864352 | 1.10 | 3.68147474 |
+| Encyclopedic and factual reference | 96 | 68.9% | 1.96648130 | 1.08 | 3.25276868 |
+| Chinese across several content types | 72 | 63.3% | 1.87901146 | 1.04 | 3.03630672 |
+| News, history, economics, legal analysis, and essays | 72 | 68.9% | 1.81524354 | 1.00 | 4.17786204 |
+| Literary, narrative, and creative writing | 72 | 62.9% | 1.69993654 | 0.94 | 2.90391837 |
+| Worked mathematics, science, and formal reasoning | 96 | 72.4% | 1.60482712 | 0.89 | 2.87840228 |
+| Structured data, tool calls, APIs, JSON, and tables | 36 | 83.3% | 1.45054648 | 0.80 | 3.33826998 |
+| Source code, tests, technical documentation, and issue discussions | 96 | 84.2% | 1.37854253 | 0.76 | 2.93070775 |
+
+The same domains measured on the other attribution cells, which shows whether a domain's weakness is a property of the model or of the format:
+
+| Domain | deployed | mxfp8 | nvfp4 | all_quantized |
+|---|---|---|---|---|
+| Other multilingual content | 2.36055674 | 0.60547717 | 0.83417492 | 1.78787763 |
+| Natural dialogue, instruction following, and assistance | 2.08054197 | 0.59360268 | 0.81214064 | 1.63223190 |
+| Scientific and technical exposition | 1.99864352 | 0.49939479 | 0.69630321 | 1.64129071 |
+| Encyclopedic and factual reference | 1.96648130 | 0.48326683 | 0.70706639 | 1.60899741 |
+| Chinese across several content types | 1.87901146 | 0.46550453 | 0.68079090 | 1.42905706 |
+| News, history, economics, legal analysis, and essays | 1.81524354 | 0.46316973 | 0.63722594 | 1.41930026 |
+| Literary, narrative, and creative writing | 1.69993654 | 0.39760530 | 0.61395641 | 1.34757069 |
+| Worked mathematics, science, and formal reasoning | 1.60482712 | 0.39846297 | 0.55025835 | 1.22613314 |
+| Structured data, tool calls, APIs, JSON, and tables | 1.45054648 | 0.48035757 | 0.61317963 | 1.19883758 |
+| Source code, tests, technical documentation, and issue discussions | 1.37854253 | 0.36808736 | 0.51325925 | 1.10842929 |
+
+**Other multilingual content** is this candidate's weakest domain and **Source code, tests, technical documentation, and issue discussions** its strongest, a spread of 1.7x. A deployment weighted toward the weakest domain sees more divergence than the headline mean implies; the per-source breakdown and the reading are in [strata.md](strata.md) and [strata.json](strata.json).
+
+## Trunk versus head
+
+| Component | Value |
+|---|---|
+| Trunk (candidate hidden states, reference head) | 1.82570235 |
+| Deployed (candidate's own head) | 1.81298048 |
+| Head-associated delta (not additive) | -0.01272188 |
+| Reference head | {'state': 'unquantized', 'workers': [{'heads': [{'name': 'language_model.lm_head', 'org_vocab_size': 262144, 'quant_method': 'UnquantizedEmbeddingMethod', 'state': 'unquantized', 'weight_dtype': 'torch.bfloat16'}], 'logits_processor': {'head_dtype': 'torch.bfloat16', 'org_vocab_size': 262144, 'scale': 1.0, 'soft_cap': 30.0, 'type': 'LogitsProcessor', 'vocab_size': 262144}, 'primary': {'org_vocab_size': 262144, 'quant_method': 'UnquantizedEmbeddingMethod', 'state': 'unquantized', 'weight_dtype': 'torch.bfloat16'}, 'state': 'unquantized'}]} |
+| Candidate head | {'runtime': {'state': 'quantized', 'workers': [{'heads': [{'name': 'language_model.lm_head', 'org_vocab_size': 262144, 'quant_method': 'UnquantizedLinearMethod', 'state': 'quantized', 'weight_dtype': 'torch.bfloat16'}], 'logits_processor': {'head_dtype': 'torch.bfloat16', 'org_vocab_size': 262144, 'scale': 1.0, 'soft_cap': 30.0, 'type': 'LogitsProcessor', 'vocab_size': 262144}, 'primary': {'org_vocab_size': 262144, 'quant_method': 'UnquantizedLinearMethod', 'state': 'quantized', 'weight_dtype': 'torch.bfloat16'}, 'state': 'quantized'}]}, 'state': 'quantized', 'static': {'ignored': True, 'lm_head_dtypes': {'model.language_model.embed_tokens.weight': 'BF16'}, 'lm_head_keys': [], 'output_weight_keys': ['model.language_model.embed_tokens.weight'], 'packed_keys': [], 'quant_method': 'modelopt', 'state': 'unquantized', 'tie_word_embeddings': True}} |
+
+## Error by context depth
+
+| Position range | Positions | Mean KLD |
+|---|---|---|
+| 0–511 | 393216 | 1.47532770 |
+| 512–1023 | 393216 | 1.59163973 |
+| 1024–1535 | 393216 | 1.90300322 |
+| 1536–2046 | 392448 | 2.28286902 |
+
+## Error by reference confidence
+
+| Reference top-1 probability | Positions | Share | Mean KLD |
+|---|---|---|---|
+| [0.00, 0.25) | 113173 | 7.2% | 3.55195433 |
+| [0.25, 0.50) | 290937 | 18.5% | 2.67427173 |
+| [0.50, 0.75) | 308489 | 19.6% | 2.15030238 |
+| [0.75, 0.95) | 318287 | 20.2% | 1.71522176 |
+| [0.95, 1.00) | 541210 | 34.4% | 0.85155857 |
+
+## Top-K set agreement
+
+| K=1 | K=2 | K=3 | K=4 | K=5 |
+|---|---|---|---|---|
+| 57.8269% | 22.2254% | 6.8006% | 1.7973% | 0.4408% |
+
+## Law compliance
+
+Zero baseline: reference against itself scored **0.00000000** over 2047 positions.
+
+| Law | Name | Status | Detail |
+|---|---|---|---|
+| 1 | Zero baseline | PASS | self-KLD exactly 0.0 over 2047 positions |
+| 2 | Determinism | PASS | eager enforced; prefix caching off, max_num_seqs=1 |
+| 3 | Frozen input | PASS | token hash matches suite gemma4-31b-it-fidelity-1024x2048-v1 [analysis]: 81d66409b44937fa |
+| 4 | Real vocabulary | PASS | scored 262144 real tokens of 262144 declared (0 padding rows) |
+| 5 | Manifest binding | PASS | all bound fields present; manifest 395c569193357bb7f32e750fa94d4156797bef41dc8f46f13370aca8764f4097 |
+| 6 | Provenance | PASS | torch 2.13.0+cu132, vLLM 0.1.dev20446+gb2bc9171d @ f4cee453bfd3, driver 580.173.02, 4 GPU(s) |
+| 7 | Storage integrity | PASS | hidden storage with bitwise-exact replay |
+| 8 | Head transparency | PASS | trunk 1.82570235, deployed 1.81298048, delta -0.012721877099676648 |
+| 9 | Tail and depth disclosure | PASS | mean 1.81298048, median 0.67060030, max 48.53921509, 4 depth buckets |
+| 10 | Comparability | PASS | comparability key fully resolved |
+| 11 | Freeze before qualification | NOT_APPLICABLE | partition is 'analysis' |
+| 12 | Reusable reference | PASS | suite, reference, head, and checksums present; published reference matches the scored capture on every bound field |
+| 14 | Component attribution | PASS | experts 0.65884572, router weights unquantized; selections changed at 74.420% of (token, layer) choices; ranking floor undefined: every scored position rerouted, so no held-routing population remains to compare against |
+| 15 | Domain disclosure | PASS | 10 domains disclosed; weakest other_multilingual at 2.36055674, strongest code_docs_issues at 1.37854253, spread 1.7x |
+| 16 | Candidate weight binding | PASS | scored weights 16029a9fa15ce779 as inspected |
+| 13 | Recorded deviation | PASS | no overrides claimed |
+
+## Environment
+
+| Item | Value |
+|---|---|
+| Host | d011sd01 |
+| Platform | Linux-6.8.0-137-generic-x86_64-with-glibc2.39 |
+| Python | 3.12.3 |
+| vLLM | 0.1.dev20446+gb2bc9171d |
+| vLLM commit | f4cee453bfd38b1afcb8e983517c385e426ec488 |
+| torch | 2.13.0+cu132 |
+| torch CUDA runtime | 13.2 |
+| cuDNN | 9.20.0 (92000) |
+| NCCL | 2.29.7 |
+| CUDA arch list | sm_75, sm_80, sm_86, sm_90, sm_100, sm_120 |
+| nvcc | Cuda compilation tools, release 13.0, V13.0.88 |
+| gcc | gcc (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0 |
+| glibc / ldd | ldd (Ubuntu GLIBC 2.39-0ubuntu8.8) 2.39 |
+| NVIDIA driver | 580.173.02 |
+| float32 matmul precision | highest |
+| TF32 (matmul / cuDNN) | False / True |
+| torch deterministic algorithms | False |
+
+### GPUs
+
+| Index | Device | Compute capability | Memory | SMs |
+|---|---|---|---|---|
+| 0 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 1 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 2 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 3 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+
+### Captured environment variables
+
+Every set variable matching the prefixes the capture watches: `VLLM_`, `TORCH`, `PYTORCH`, `CUDA`, `CUBLAS`, `NCCL`, `TRITON`, `FLASHINFER`, `OMP_`, `MKL_`, `HF_`, `SAFETENSORS_`. Any of these can move a bitwise result, so they are part of the identity.
+
+Credential values are never published. Set but redacted: `HF_TOKEN`.
+
+| Variable | Value |
+|---|---|
+| `CUDA_HOME` | `/usr/local/cuda-13.0` |
+| `HF_TOKEN` | `<redacted>` |
+
+## Files in this artifact
+
+Paths are relative to the artifact root, the same paths `checksums.txt` uses. Verify the whole tree with `sha256sum --check checksums.txt` from that root.
+
+| Path | Size | What it is |
+|---|---|---|
+| `Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/report.md` | 20.28 KiB | This document. |
+| `Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/report.json` | 252.20 KiB | Every statistic behind it, machine-readable: per-bucket means, percentiles, agreement rates, and the phase timings. |
+| `Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/manifest.json` | 85.83 KiB | The capture manifest this result is bound to (Law 5). Scoring refuses to run if the live configuration differs from it. |
+| `Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/compliance.json` | 34.59 KiB | The law-by-law receipt, including the comparability key. |
+| `baselines/self-kld.json` | 4.76 KiB | The zero-baseline proof required by Law 1: the reference scored against a capture of itself. |
+| `suite/suite-manifest.json` | 382.61 KiB | The frozen evaluation input's identity: token hashes per context and per partition, sources, strata, and the analysis/qualification split. |
+| `suite/tokens` | 17.32 MiB in 1024 files | The token IDs themselves. These are the evaluation input, not a description of it; retokenizing source text does not reproduce them. |
+| `suite/sources.json` | 737.48 KiB | Per-context provenance: dataset, revision, licence, source unit, and the deterministic token offset chosen within the document. |
+| `suite/validation/capability-overlap.json` | 1.48 KiB | The benchmark-contamination scan and every document it blocked. |
+| `reference/manifest.json` | 85.83 KiB | The reference capture's own manifest: geometry, vocabulary, storage mode, and a hash for every tensor file. |
+| `reference` | 11.62 GiB in 771 files | The reusable reference distributions. Pass this directory as `--reference-logits` to score a new candidate against the same reference without loading the reference checkpoint. |
+| `reference/lm_head.safetensors` | 1.38 GiB | The reference language-model head, which turns the stored hidden states back into reference logits. |
+| `environment/runtime.json` | 2.26 KiB | Machine-readable provenance: torch, CUDA, cuDNN, NCCL, driver, devices, and the captured environment variables. |
+| `environment/summary.md` | 1.10 KiB | The same provenance as prose, plus an index of every captured file. |
+| `environment/toolchain-nvcc.txt` | 243 B | `nvcc --version` verbatim; `toolchain-gcc.txt` and `toolchain-ldd.txt` sit beside it. |
+| `environment/gpu-smi-query.txt` | 54.73 KiB | `nvidia-smi -q` verbatim: ECC state, persistence mode, clocks, and throttle reasons, any of which can move a bitwise result. |
+| `environment/pip-freeze.txt` | 4.31 KiB | Every installed package version in the scoring environment. |
+| `environment/models` | 11.35 KiB in 7 files | Checkpoint fingerprints: file listing, sizes, config and tokenizer hashes, and `config.json` verbatim for each model scored. |
+| `checksums.txt` | 191.21 KiB | `sha256sum --check` compatible over every other file here. This is authoritative for integrity (Law 12). |
+| `LAWS.md` | 29.81 KiB | The laws this artifact was produced under, including the override procedure. |
+
+## Scope
+
+This artifact measures teacher-forced next-token distribution fidelity at the stated context length, over the stated token suite, through the stated runtime. It does not measure free-running generation, benchmark accuracy, instruction following, long-context behavior beyond the suite's context length, multimodal behavior, tool use, or throughput.
+
+Per Law 10, these numbers are comparable only to numbers produced from the same suite, geometry, and runtime identity. A KLD threshold borrowed from another model, corpus, tokenizer, or serving stack carries no verdict here.

Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/strata.json

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+        "label": "Chinese across several content types",
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+        "label": "News, history, economics, legal analysis, and essays",
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+      {
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+        },
+        "key": "literary_narrative",
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+      {
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+        },
+        "key": "worked_math_reasoning",
+        "label": "Worked mathematics, science, and formal reasoning",
+        "relative_to_run": 0.8851872064174683
+      },
+      {
+        "cells": {
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+        },
+        "key": "structured_data_tools",
+        "label": "Structured data, tool calls, APIs, JSON, and tables",
+        "relative_to_run": 0.800089407882427
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+      {
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+        },
+        "key": "code_docs_issues",
+        "label": "Source code, tests, technical documentation, and issue discussions",
+        "relative_to_run": 0.7603736236303209
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+    ]
+  },
+  "overall": {
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+      "worst_context_id": 942,
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+    },
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+      "worst_context_id": 216,
+      "worst_context_kld": 1.6596375001742996
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+    "nvfp4": {
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+      "median_context_p99": 7.511585235595703,
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+      "top1_agreement": 0.7603428798241328,
+      "worst_context_id": 346,
+      "worst_context_kld": 2.0271412242925955
+    }
+  },
+  "primary": "deployed"
+}

Neural-ICE-Gemma-4-26B-A4B-it-NVFP4/strata.md

@@ -0,0 +1,68 @@
+# Fidelity by domain - gemma-4-26B-A4B-it / Neural-ICE-Gemma-4-26B-A4B-it-NVFP4
+
+768 contexts, 1572096 scored positions, mean 1.81298048, reference top-1 72.1%, top-1 agreement 57.8623%.
+
+`x run` is the domain's mean divided by the run's mean, so 1.00 is a domain that degrades exactly as much as the model as a whole. `Median ctx` and `p90 ctx` are the spread of per-context means within the domain.
+
+## Ranked by domain
+
+| Domain | Contexts | Ref top-1 | Mean KLD | x run | Median ctx | p90 ctx | Worst ctx |
+|---|---|---|---|---|---|---|---|
+| Other multilingual content | 36 | 70.7% | 2.36055674 | 1.30 | 2.27779897 | 3.85267773 | 4.957488 |
+| Natural dialogue, instruction following, and assistance | 96 | 77.3% | 2.08054197 | 1.15 | 2.09957934 | 3.19753145 | 3.927646 |
+| Scientific and technical exposition | 96 | 69.8% | 1.99864352 | 1.10 | 1.97027905 | 2.83071522 | 3.681475 |
+| Encyclopedic and factual reference | 96 | 68.9% | 1.96648130 | 1.08 | 2.11264218 | 2.67482285 | 3.252769 |
+| Chinese across several content types | 72 | 63.3% | 1.87901146 | 1.04 | 1.87232546 | 2.74345675 | 3.036307 |
+| News, history, economics, legal analysis, and essays | 72 | 68.9% | 1.81524354 | 1.00 | 1.72994359 | 2.67870268 | 4.177862 |
+| Literary, narrative, and creative writing | 72 | 62.9% | 1.69993654 | 0.94 | 1.75721595 | 2.60320977 | 2.903918 |
+| Worked mathematics, science, and formal reasoning | 96 | 72.4% | 1.60482712 | 0.89 | 1.56024657 | 2.31793721 | 2.878402 |
+| Structured data, tool calls, APIs, JSON, and tables | 36 | 83.3% | 1.45054648 | 0.80 | 1.32311970 | 2.28654410 | 3.338270 |
+| Source code, tests, technical documentation, and issue discussions | 96 | 84.2% | 1.37854253 | 0.76 | 1.35580005 | 2.10252137 | 2.930708 |
+
+## The same domains across the ladder
+
+Each column is a separate measurement of the same contexts, so a domain that moves between columns is one the format treats differently.
+
+| Domain | deployed | mxfp8 | nvfp4 | all_quantized |
+|---|---|---|---|---|
+| Other multilingual content | 2.36055674 | 0.60547717 | 0.83417492 | 1.78787763 |
+| Natural dialogue, instruction following, and assistance | 2.08054197 | 0.59360268 | 0.81214064 | 1.63223190 |
+| Scientific and technical exposition | 1.99864352 | 0.49939479 | 0.69630321 | 1.64129071 |
+| Encyclopedic and factual reference | 1.96648130 | 0.48326683 | 0.70706639 | 1.60899741 |
+| Chinese across several content types | 1.87901146 | 0.46550453 | 0.68079090 | 1.42905706 |
+| News, history, economics, legal analysis, and essays | 1.81524354 | 0.46316973 | 0.63722594 | 1.41930026 |
+| Literary, narrative, and creative writing | 1.69993654 | 0.39760530 | 0.61395641 | 1.34757069 |
+| Worked mathematics, science, and formal reasoning | 1.60482712 | 0.39846297 | 0.55025835 | 1.22613314 |
+| Structured data, tool calls, APIs, JSON, and tables | 1.45054648 | 0.48035757 | 0.61317963 | 1.19883758 |
+| Source code, tests, technical documentation, and issue discussions | 1.37854253 | 0.36808736 | 0.51325925 | 1.10842929 |
+
+## Ranked by source dataset
+
+| Source | Contexts | Ref top-1 | Mean KLD | x run | Median ctx | p90 ctx | Worst ctx |
+|---|---|---|---|---|---|---|---|
+| wikipedia_ru | 6 | 68.3% | 3.25179235 | 1.79 | 3.32979054 | 4.20144500 | 4.201445 |
+| wikipedia_cs | 6 | 70.6% | 3.13637570 | 1.73 | 3.38542783 | 4.95748827 | 4.957488 |
+| wikipedia_de | 7 | 77.2% | 2.10556411 | 1.16 | 2.25848982 | 2.36777393 | 2.367774 |
+| wikipedia_fr | 3 | 69.4% | 2.10499370 | 1.16 | 2.17486815 | 2.41453792 | 2.414538 |
+| wildchat | 96 | 77.3% | 2.08054197 | 1.15 | 2.09957934 | 3.19753145 | 3.927646 |
+| open_news | 23 | 66.5% | 2.03162879 | 1.12 | 1.87281991 | 3.27167408 | 4.177862 |
+| scientific_papers | 96 | 69.8% | 1.99864352 | 1.10 | 1.97027905 | 2.83071522 | 3.681475 |
+| wikipedia_zh | 39 | 62.4% | 1.99365703 | 1.10 | 2.16009428 | 2.75896891 | 2.846686 |
+| wikipedia_en | 96 | 68.9% | 1.96648130 | 1.08 | 2.11264218 | 2.67482285 | 3.252769 |
+| wikipedia_ja | 7 | 69.8% | 1.90502534 | 1.05 | 1.99524572 | 2.29983517 | 2.299835 |
+| public_domain_review | 26 | 64.7% | 1.83727841 | 1.01 | 1.91656603 | 2.70666299 | 2.938417 |
+| wikipedia_es | 7 | 67.9% | 1.75170385 | 0.97 | 1.65127795 | 2.83761663 | 2.837617 |
+| wikisource_zh | 33 | 64.5% | 1.74352124 | 0.96 | 1.71493221 | 2.42909737 | 3.036307 |
+| public_domain_books | 72 | 62.9% | 1.69993654 | 0.94 | 1.75721595 | 2.60320977 | 2.903918 |
+| libretexts | 96 | 72.4% | 1.60482712 | 0.89 | 1.56024657 | 2.31793721 | 2.878402 |
+| regulations | 23 | 76.1% | 1.57394931 | 0.87 | 1.65594901 | 2.35188648 | 3.129034 |
+| starcoder_structured | 36 | 83.3% | 1.45054648 | 0.80 | 1.32311970 | 2.28654410 | 3.338270 |
+| stackv2 | 44 | 80.0% | 1.40411448 | 0.77 | 1.44263735 | 2.09550064 | 2.520085 |
+| github_code | 52 | 87.8% | 1.35690474 | 0.75 | 1.22107401 | 2.14591189 | 2.930708 |
+
+## Reading
+
+- Weakest domain: **Other multilingual content** at 2.36055674, 1.30x the run mean of 1.81298048 over 36 context(s).
+- Strongest domain: **Source code, tests, technical documentation, and issue discussions** at 1.37854253, 0.76x the run mean. The spread across domains is 1.7x.
+- Every cell is weakest on the same domain (Other multilingual content), so the ranking is a property of the model and the text rather than of one format.
+

baselines/self-kld.json

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cklaus-gemma-4-26B-A4B-it-NVFP4/attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4-qdq-manifest.json

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cklaus-gemma-4-26B-A4B-it-NVFP4/compliance.json

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cklaus-gemma-4-26B-A4B-it-NVFP4/inspect.json

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+    "context_length": 2048,
+    "contexts": 768,
+    "limit": null,
+    "partition": "analysis",
+    "partition_token_sha256": "81d66409b44937fadcb5361f42b497543b6cfd377d7fb85c7dabdcd7afd57f32",
+    "recipe_id": "lil-fidelity-1024x2048-v1",
+    "suite_id": "gemma4-31b-it-fidelity-1024x2048-v1",
+    "suite_token_sha256": "9ef504c2d56e149b6bb6b08f0c593b4168b4b60d2657ef4497f543888810d192",
+    "tokenizer": {
+      "class": "GemmaTokenizer",
+      "name_or_path": "/media/fmodels2/google/gemma-4-31B-it",
+      "unpadded_vocab_size": 262144,
+      "vocab_size": 262144
+    }
+  },
+  "tokenizer": {
+    "actual_vocab_size": null,
+    "class": "GemmaTokenizer",
+    "special_tokens_map": {
+      "audio_token": "<|audio|>",
+      "boa_token": "<|audio>",
+      "boi_token": "<|image>",
+      "bos_token": "<bos>",
+      "eoa_token": "<audio|>",
+      "eoc_token": "<channel|>",
+      "eoi_token": "<image|>",
+      "eos_token": "<eos>",
+      "eot_token": "<turn|>",
+      "escape_token": "<|\"|>",
+      "etc_token": "<tool_call|>",
+      "etd_token": "<tool|>",
+      "etr_token": "<tool_response|>",
+      "image_token": "<|image|>",
+      "mask_token": "<mask>",
+      "pad_token": "<pad>",
+      "soc_token": "<|channel>",
+      "sot_token": "<|turn>",
+      "stc_token": "<|tool_call>",
+      "std_token": "<|tool>",
+      "str_token": "<|tool_response>",
+      "think_token": "<|think|>",
+      "unk_token": "<unk>"
+    },
+    "vocab_sha256": "2f396f1b9092280fd3138ba9f9ec8173650fdab98608975e1c13b1f5fc4f1227",
+    "vocab_size": 262144
+  }
+}

cklaus-gemma-4-26B-A4B-it-NVFP4/provenance.json

@@ -0,0 +1,53 @@
+{
+  "reference": "/media/fmodels2/google/gemma-4-26B-A4B-it",
+  "candidate": "/media/fmodels2/cklaus/gemma-4-26B-A4B-it-NVFP4",
+  "ok": true,
+  "identity": {
+    "architectures": [
+      "Gemma4ForConditionalGeneration"
+    ],
+    "hidden_size": 2816,
+    "num_hidden_layers": 30,
+    "layer_types": [
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention"
+    ],
+    "vocab_size": 262144,
+    "intermediate_size": 2112,
+    "head_dim": 256
+  },
+  "differing": [],
+  "tokenizer_sha256": {
+    "reference": "cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f",
+    "candidate": "d93b194780d6d3212d02d300123b13009b4e46871c1a8395e3294d7205d349a8",
+    "match": false
+  }
+}

cklaus-gemma-4-26B-A4B-it-NVFP4/report.md

@@ -0,0 +1,296 @@
+# gemma-4-26B-A4B-it / cklaus-gemma-4-26B-A4B-it-NVFP4: distribution fidelity
+
+**Mean KLD(reference || candidate) = 1.57775650** over 1572096 scored positions.
+
+| Mean | Median | p90 | p99 | Max | Top-1 agreement |
+|---|---|---|---|---|---|
+| 1.57775650 | 0.51007038 | 4.56852031 | 12.51754785 | 43.15247345 | 61.2305% |
+
+Reverse direction, KLD(candidate || reference): 1.79113895.
+
+## Identity
+
+| Item | Value |
+|---|---|
+| Reference checkpoint | /media/fmodels2/google/gemma-4-26B-A4B-it |
+| Reference config SHA-256 | ed0c1eb3633d |
+| Candidate checkpoint | /media/fmodels2/cklaus/gemma-4-26B-A4B-it-NVFP4 |
+| Candidate weights SHA-256 | 073e0398211da0ee |
+| Suite | gemma4-31b-it-fidelity-1024x2048-v1 |
+| Suite token SHA-256 | 81d66409b44937fa |
+| Capture manifest SHA-256 | 395c569193357bb7 |
+| Tokenizer | None |
+| Scored vocabulary | 262144 |
+| Declared vocabulary | 262144 |
+| Geometry | 768 rows x 2048 tokens, stride 2048, score_from 0 |
+| Reference storage | hidden |
+| Model runner | V1 |
+| Tensor parallel | 1 |
+| Eager enforced | True |
+| Prefix caching | False |
+| max_num_seqs | 1 |
+| vLLM | 0.1.dev20446+gb2bc9171d |
+| vLLM commit | f4cee453bfd3 |
+| torch | 2.13.0+cu132 |
+| Driver | 580.173.02 |
+| GPUs | NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
+| Laws version | 8 |
+| Partition | analysis |
+
+## Component attribution
+
+This reference routes tokens to experts, so the deployed mean is not a single effect. Each cell is the reference with one component rounded through the deployed scheme and run on BF16 kernels, scored on the same tokens against the same capture. The cells do not sum to the deployed mean and are not meant to: once a token is routed elsewhere, degrading the expert it no longer uses costs nothing.
+
+No cell here holds expert selection fixed. Rounding any weight changes the residual stream, and every router downstream of that change sees different inputs, so each cell carries some routing movement of its own. What routing costs is measured directly under [Routing divergence](#routing-divergence), not inferred from these cells.
+
+### What the deployed checkpoint quantizes
+
+| Property | Value |
+|---|---|
+| Scheme | nvfp4 |
+| Block | 16 |
+| Weights on disk | n/a |
+| Declared method | modelopt |
+| Algorithm | modelopt |
+| Activation scheme | n/a |
+
+| Component | Quantized weights | Coverage |
+|---|---|---|
+| attention | 0 / 115 | none |
+| dense_mlp | 90 / 90 | all |
+| experts | 11520 / 11520 | all |
+| router | 0 / 30 | none |
+
+### Component cells
+
+| Cell | What it isolates | Mean KLD | Selections changed | Support |
+|---|---|---|---|---|
+| Experts only | expert weight precision | 0.65884572 | 50.5274% | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4.json) · [manifest](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4-qdq-manifest.json) |
+| Router weights only | router weight precision, not the routing term | n/a — router ships unquantized | n/a | [routing divergence](#routing-divergence) |
+| Every quantized component | experts, dense_mlp, BF16 kernels | 0.88090395 | 57.6895% | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-dense_mlp-nvfp4.json) · [manifest](attribution/gemma-4-26B-A4B-it-qdq-experts-dense_mlp-nvfp4-qdq-manifest.json) |
+| Deployed | as shipped, quantized kernels | 1.57775650 | 70.8269% | [report.json](report.json) |
+
+Two terms sit outside every cell above, because no cell can hold them. They are the reason the deployed mean is not a precision measurement:
+
+| Term | Value | Share | What it is | Derived in |
+|---|---|---|---|---|
+| Beyond weight rounding | +0.69685255 | 44% of the deployed mean | activation quantization and kernel arithmetic | [Beyond weight rounding](#beyond-weight-rounding) |
+| Routing, measured | saturated | n/a | expert selection changed at 70.8269% of choices and every scored position rerouted, so no held-routing population remains to measure the excess against | [Routing divergence](#routing-divergence) |
+
+The selections column is why none of these cells is routing-free: each one reroutes some tokens purely as a consequence of rounding weights upstream of a router it never touched.
+
+### Beyond weight rounding
+
+**+0.69685255** (44% of the deployed mean). Every cell above rounds weights and runs on BF16 kernels. The deployed checkpoint differs from the composite cell by this much. The checkpoint quantizes weights only, so this term is kernel arithmetic. A weight-only analysis, which is what any QDQ cell is, cannot see it.
+
+The deployed checkpoint leaves the router in BF16, so router weight precision costs exactly nothing here. That is not the same as routing costing nothing: an identical router fed perturbed activations selects different experts, which is measured under [Routing divergence](#routing-divergence).
+
+Evidence: qdq.py --inspect gemma-4-26B-A4B-it-NVFP4: router 0 of 30 weights quantized
+
+### Scheme ladder
+
+The same expert weights rounded through each scheme, which is the cell that discriminates between them. Ladder rungs hold that weight set fixed across schemes, so a deployed rung is not the expert cell above it when the checkpoint quantizes only some of those weights.
+
+| Scheme | Experts-only mean KLD | Variant | Support |
+|---|---|---|---|
+| fp8_block | not expressible |  |  |
+| mxfp8 | 0.46808904 | gemma-4-26B-A4B-it-qdq-experts-mxfp8 | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-mxfp8.json) |
+| nvfp4 | 0.65884572 | gemma-4-26B-A4B-it-qdq-experts-nvfp4 | [report](attribution/gemma-4-26B-A4B-it-qdq-experts-nvfp4.json) |
+
+`fp8_block` has no rung on this model: fp8_block lays scales on a 128-wide grid and model.language_model.layers.0.experts.down_proj is 128x2816x704, whose 704 is not a multiple of 128. Padding the weight to fit the grid would change the scales, so the rung is reported absent rather than measured under a layout no checkpoint deploys.
+
+Full cells, digests, and the deployed checkpoint's inspection are in [attribution.json](attribution.json).
+
+## Routing divergence
+
+Both runs saw the same tokens, and the candidate's routers are the reference's routers to the bit where the checkpoint leaves them unquantized. They still selected different experts, because the activations arriving at them were already perturbed. This section compares the two runs' recorded selections over 30 routed layers, 8 experts per token.
+
+| Measure | Rate | Of what |
+|---|---|---|
+| Selections changed | 70.8269% | of 47162880 (token, layer) choices |
+| Expert slots changed | 38.4656% | of individual expert slots |
+| Highest-weighted expert changed | 24.6335% | includes reordering within an unchanged selection |
+| Positions with any flip | 100.0000% | 1572096 of 1572096 scored positions |
+
+| Positions where | Mean KLD | Count |
+|---|---|---|
+| Routing held | n/a | 0 |
+| Routing flipped | 1.57775650 | 1572096 |
+
+**Ranking floor undefined.** Every one of the 1572096 scored positions rerouted in at least one layer, so there is no held-routing population to compare the flipped ones against. The floor is not small here, it is unmeasurable, and no rescore changes that: the perturbation is large enough that routing divergence is the whole picture rather than a correction to it. Rank against this candidate on the experts-only cell, and treat the deployed mean as unranked.
+
+Divergence rises with how many layers rerouted, which is what distinguishes a single reroute a later layer can absorb from a token that took a different path through the model:
+
+| Layers rerouted | Positions | Mean KLD |
+|---|---|---|
+| 4-7 | 112 | 0.53448704 |
+| 8+ | 1571984 | 1.57783083 |
+
+Per-layer selection change runs from 18.22% to 88.94% (worst at layer 29), averaging 38.35% across the first quarter of routed layers and 86.63% across the last. Rerouting that grows with depth is accumulated perturbation, not router precision.
+
+## Fidelity by domain
+
+The suite is stratified, so the mean above is an average over kinds of text that do not degrade equally. `x run` is a domain's mean divided by the run's, so 1.00 degrades exactly as much as the model overall. The reference's own top-1 probability is shown because a domain the reference finds harder will diverge more for that reason alone.
+
+| Domain | Contexts | Reference top-1 | Mean KLD | x run | Worst context |
+|---|---|---|---|---|---|
+| Other multilingual content | 36 | 70.7% | 1.99316438 | 1.26 | 3.70899484 |
+| Natural dialogue, instruction following, and assistance | 96 | 77.3% | 1.86077931 | 1.18 | 3.28160360 |
+| Scientific and technical exposition | 96 | 69.8% | 1.75158066 | 1.11 | 3.02081515 |
+| Encyclopedic and factual reference | 96 | 68.9% | 1.70851321 | 1.08 | 3.32117574 |
+| Chinese across several content types | 72 | 63.3% | 1.57733700 | 1.00 | 3.09333040 |
+| News, history, economics, legal analysis, and essays | 72 | 68.9% | 1.53993858 | 0.98 | 3.08632302 |
+| Literary, narrative, and creative writing | 72 | 62.9% | 1.52505892 | 0.97 | 2.89477220 |
+| Worked mathematics, science, and formal reasoning | 96 | 72.4% | 1.36108900 | 0.86 | 2.69304383 |
+| Structured data, tool calls, APIs, JSON, and tables | 36 | 83.3% | 1.32333770 | 0.84 | 2.98585567 |
+| Source code, tests, technical documentation, and issue discussions | 96 | 84.2% | 1.21465066 | 0.77 | 2.99386811 |
+
+The same domains measured on the other attribution cells, which shows whether a domain's weakness is a property of the model or of the format:
+
+| Domain | deployed | mxfp8 | nvfp4 | all_quantized |
+|---|---|---|---|---|
+| Other multilingual content | 1.99316438 | 0.60547717 | 0.83417492 | 1.10016318 |
+| Natural dialogue, instruction following, and assistance | 1.86077931 | 0.59360268 | 0.81214064 | 1.06935882 |
+| Scientific and technical exposition | 1.75158066 | 0.49939479 | 0.69630321 | 0.94717513 |
+| Encyclopedic and factual reference | 1.70851321 | 0.48326683 | 0.70706639 | 0.95198648 |
+| Chinese across several content types | 1.57733700 | 0.46550453 | 0.68079090 | 0.94426212 |
+| News, history, economics, legal analysis, and essays | 1.53993858 | 0.46316973 | 0.63722594 | 0.86441839 |
+| Literary, narrative, and creative writing | 1.52505892 | 0.39760530 | 0.61395641 | 0.84032961 |
+| Worked mathematics, science, and formal reasoning | 1.36108900 | 0.39846297 | 0.55025835 | 0.71140818 |
+| Structured data, tool calls, APIs, JSON, and tables | 1.32333770 | 0.48035757 | 0.61317963 | 0.76892288 |
+| Source code, tests, technical documentation, and issue discussions | 1.21465066 | 0.36808736 | 0.51325925 | 0.67963816 |
+
+**Other multilingual content** is this candidate's weakest domain and **Source code, tests, technical documentation, and issue discussions** its strongest, a spread of 1.6x. A deployment weighted toward the weakest domain sees more divergence than the headline mean implies; the per-source breakdown and the reading are in [strata.md](strata.md) and [strata.json](strata.json).
+
+## Trunk versus head
+
+| Component | Value |
+|---|---|
+| Trunk (candidate hidden states, reference head) | 1.59544847 |
+| Deployed (candidate's own head) | 1.57775650 |
+| Head-associated delta (not additive) | -0.01769197 |
+| Reference head | {'state': 'unquantized', 'workers': [{'heads': [{'name': 'language_model.lm_head', 'org_vocab_size': 262144, 'quant_method': 'UnquantizedEmbeddingMethod', 'state': 'unquantized', 'weight_dtype': 'torch.bfloat16'}], 'logits_processor': {'head_dtype': 'torch.bfloat16', 'org_vocab_size': 262144, 'scale': 1.0, 'soft_cap': 30.0, 'type': 'LogitsProcessor', 'vocab_size': 262144}, 'primary': {'org_vocab_size': 262144, 'quant_method': 'UnquantizedEmbeddingMethod', 'state': 'unquantized', 'weight_dtype': 'torch.bfloat16'}, 'state': 'unquantized'}]} |
+| Candidate head | {'runtime': {'state': 'quantized', 'workers': [{'heads': [{'name': 'language_model.lm_head', 'org_vocab_size': 262144, 'quant_method': 'UnquantizedLinearMethod', 'state': 'quantized', 'weight_dtype': 'torch.bfloat16'}], 'logits_processor': {'head_dtype': 'torch.bfloat16', 'org_vocab_size': 262144, 'scale': 1.0, 'soft_cap': 30.0, 'type': 'LogitsProcessor', 'vocab_size': 262144}, 'primary': {'org_vocab_size': 262144, 'quant_method': 'UnquantizedLinearMethod', 'state': 'quantized', 'weight_dtype': 'torch.bfloat16'}, 'state': 'quantized'}]}, 'state': 'quantized', 'static': {'ignored': False, 'lm_head_dtypes': {'model.language_model.embed_tokens.weight': 'BF16'}, 'lm_head_keys': [], 'output_weight_keys': ['model.language_model.embed_tokens.weight'], 'packed_keys': [], 'quant_method': 'modelopt', 'state': 'unquantized', 'tie_word_embeddings': True}} |
+
+## Error by context depth
+
+| Position range | Positions | Mean KLD |
+|---|---|---|
+| 0–511 | 393216 | 1.28104094 |
+| 512–1023 | 393216 | 1.37211859 |
+| 1024–1535 | 393216 | 1.66118613 |
+| 1536–2046 | 392448 | 1.99750015 |
+
+## Error by reference confidence
+
+| Reference top-1 probability | Positions | Share | Mean KLD |
+|---|---|---|---|
+| [0.00, 0.25) | 113173 | 7.2% | 3.19348333 |
+| [0.25, 0.50) | 290937 | 18.5% | 2.36952386 |
+| [0.50, 0.75) | 308489 | 19.6% | 1.87927135 |
+| [0.75, 0.95) | 318287 | 20.2% | 1.45794342 |
+| [0.95, 1.00) | 541210 | 34.4% | 0.71286091 |
+
+## Top-K set agreement
+
+| K=1 | K=2 | K=3 | K=4 | K=5 |
+|---|---|---|---|---|
+| 61.2081% | 25.7489% | 8.6670% | 2.5019% | 0.6705% |
+
+## Law compliance
+
+Zero baseline: reference against itself scored **0.00000000** over 2047 positions.
+
+| Law | Name | Status | Detail |
+|---|---|---|---|
+| 1 | Zero baseline | PASS | self-KLD exactly 0.0 over 2047 positions |
+| 2 | Determinism | PASS | eager enforced; prefix caching off, max_num_seqs=1 |
+| 3 | Frozen input | PASS | token hash matches suite gemma4-31b-it-fidelity-1024x2048-v1 [analysis]: 81d66409b44937fa |
+| 4 | Real vocabulary | PASS | scored 262144 real tokens of 262144 declared (0 padding rows) |
+| 5 | Manifest binding | PASS | all bound fields present; manifest 395c569193357bb7f32e750fa94d4156797bef41dc8f46f13370aca8764f4097 |
+| 6 | Provenance | PASS | torch 2.13.0+cu132, vLLM 0.1.dev20446+gb2bc9171d @ f4cee453bfd3, driver 580.173.02, 4 GPU(s) |
+| 7 | Storage integrity | PASS | hidden storage with bitwise-exact replay |
+| 8 | Head transparency | PASS | trunk 1.59544847, deployed 1.57775650, delta -0.01769197403839029 |
+| 9 | Tail and depth disclosure | PASS | mean 1.57775650, median 0.51007038, max 43.15247345, 4 depth buckets |
+| 10 | Comparability | PASS | comparability key fully resolved |
+| 11 | Freeze before qualification | NOT_APPLICABLE | partition is 'analysis' |
+| 12 | Reusable reference | PASS | suite, reference, head, and checksums present; published reference matches the scored capture on every bound field |
+| 14 | Component attribution | PASS | experts 0.65884572, router weights unquantized; selections changed at 70.827% of (token, layer) choices; ranking floor undefined: every scored position rerouted, so no held-routing population remains to compare against |
+| 15 | Domain disclosure | PASS | 10 domains disclosed; weakest other_multilingual at 1.99316438, strongest code_docs_issues at 1.21465066, spread 1.6x |
+| 16 | Candidate weight binding | PASS | scored weights 073e0398211da0ee as inspected |
+| 13 | Recorded deviation | PASS | no overrides claimed |
+
+## Environment
+
+| Item | Value |
+|---|---|
+| Host | d011sd01 |
+| Platform | Linux-6.8.0-137-generic-x86_64-with-glibc2.39 |
+| Python | 3.12.3 |
+| vLLM | 0.1.dev20446+gb2bc9171d |
+| vLLM commit | f4cee453bfd38b1afcb8e983517c385e426ec488 |
+| torch | 2.13.0+cu132 |
+| torch CUDA runtime | 13.2 |
+| cuDNN | 9.20.0 (92000) |
+| NCCL | 2.29.7 |
+| CUDA arch list | sm_75, sm_80, sm_86, sm_90, sm_100, sm_120 |
+| nvcc | Cuda compilation tools, release 13.0, V13.0.88 |
+| gcc | gcc (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0 |
+| glibc / ldd | ldd (Ubuntu GLIBC 2.39-0ubuntu8.8) 2.39 |
+| NVIDIA driver | 580.173.02 |
+| float32 matmul precision | highest |
+| TF32 (matmul / cuDNN) | False / True |
+| torch deterministic algorithms | False |
+
+### GPUs
+
+| Index | Device | Compute capability | Memory | SMs |
+|---|---|---|---|---|
+| 0 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 1 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 2 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+| 3 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 12.0 | 94.97 GiB | 188 |
+
+### Captured environment variables
+
+Every set variable matching the prefixes the capture watches: `VLLM_`, `TORCH`, `PYTORCH`, `CUDA`, `CUBLAS`, `NCCL`, `TRITON`, `FLASHINFER`, `OMP_`, `MKL_`, `HF_`, `SAFETENSORS_`. Any of these can move a bitwise result, so they are part of the identity.
+
+Credential values are never published. Set but redacted: `HF_TOKEN`.
+
+| Variable | Value |
+|---|---|
+| `CUDA_HOME` | `/usr/local/cuda-13.0` |
+| `HF_TOKEN` | `<redacted>` |
+
+## Files in this artifact
+
+Paths are relative to the artifact root, the same paths `checksums.txt` uses. Verify the whole tree with `sha256sum --check checksums.txt` from that root.
+
+| Path | Size | What it is |
+|---|---|---|
+| `cklaus-gemma-4-26B-A4B-it-NVFP4/report.md` | 20.22 KiB | This document. |
+| `cklaus-gemma-4-26B-A4B-it-NVFP4/report.json` | 252.24 KiB | Every statistic behind it, machine-readable: per-bucket means, percentiles, agreement rates, and the phase timings. |
+| `cklaus-gemma-4-26B-A4B-it-NVFP4/manifest.json` | 85.83 KiB | The capture manifest this result is bound to (Law 5). Scoring refuses to run if the live configuration differs from it. |
+| `cklaus-gemma-4-26B-A4B-it-NVFP4/compliance.json` | 34.52 KiB | The law-by-law receipt, including the comparability key. |
+| `baselines/self-kld.json` | 4.76 KiB | The zero-baseline proof required by Law 1: the reference scored against a capture of itself. |
+| `suite/suite-manifest.json` | 382.61 KiB | The frozen evaluation input's identity: token hashes per context and per partition, sources, strata, and the analysis/qualification split. |
+| `suite/tokens` | 17.32 MiB in 1024 files | The token IDs themselves. These are the evaluation input, not a description of it; retokenizing source text does not reproduce them. |
+| `suite/sources.json` | 737.48 KiB | Per-context provenance: dataset, revision, licence, source unit, and the deterministic token offset chosen within the document. |
+| `suite/validation/capability-overlap.json` | 1.48 KiB | The benchmark-contamination scan and every document it blocked. |
+| `reference/manifest.json` | 85.83 KiB | The reference capture's own manifest: geometry, vocabulary, storage mode, and a hash for every tensor file. |
+| `reference` | 11.62 GiB in 771 files | The reusable reference distributions. Pass this directory as `--reference-logits` to score a new candidate against the same reference without loading the reference checkpoint. |
+| `reference/lm_head.safetensors` | 1.38 GiB | The reference language-model head, which turns the stored hidden states back into reference logits. |
+| `environment/runtime.json` | 2.26 KiB | Machine-readable provenance: torch, CUDA, cuDNN, NCCL, driver, devices, and the captured environment variables. |
+| `environment/summary.md` | 1.10 KiB | The same provenance as prose, plus an index of every captured file. |
+| `environment/toolchain-nvcc.txt` | 243 B | `nvcc --version` verbatim; `toolchain-gcc.txt` and `toolchain-ldd.txt` sit beside it. |
+| `environment/gpu-smi-query.txt` | 54.73 KiB | `nvidia-smi -q` verbatim: ECC state, persistence mode, clocks, and throttle reasons, any of which can move a bitwise result. |
+| `environment/pip-freeze.txt` | 4.31 KiB | Every installed package version in the scoring environment. |
+| `environment/models` | 11.35 KiB in 7 files | Checkpoint fingerprints: file listing, sizes, config and tokenizer hashes, and `config.json` verbatim for each model scored. |
+| `checksums.txt` | 191.21 KiB | `sha256sum --check` compatible over every other file here. This is authoritative for integrity (Law 12). |
+| `LAWS.md` | 29.81 KiB | The laws this artifact was produced under, including the override procedure. |
+
+## Scope
+
+This artifact measures teacher-forced next-token distribution fidelity at the stated context length, over the stated token suite, through the stated runtime. It does not measure free-running generation, benchmark accuracy, instruction following, long-context behavior beyond the suite's context length, multimodal behavior, tool use, or throughput.
+
+Per Law 10, these numbers are comparable only to numbers produced from the same suite, geometry, and runtime identity. A KLD threshold borrowed from another model, corpus, tokenizer, or serving stack carries no verdict here.

cklaus-gemma-4-26B-A4B-it-NVFP4/strata.json

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+            "worst_context_id": 866,
+            "worst_context_kld": 1.6209360396563706
+          }
+        },
+        "key": "chinese",
+        "label": "Chinese across several content types",
+        "relative_to_run": 0.9997341191988469
+      },
+      {
+        "cells": {
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+          "mxfp8": {
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+          "nvfp4": {
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+            "worst_context_kld": 2.0271412242925955
+          }
+        },
+        "key": "news_history_legal_essays",
+        "label": "News, history, economics, legal analysis, and essays",
+        "relative_to_run": 0.9760305724080688
+      },
+      {
+        "cells": {
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+          },
+          "deployed": {
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+          "nvfp4": {
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+            "worst_context_id": 388,
+            "worst_context_kld": 1.4678952096767566
+          }
+        },
+        "key": "literary_narrative",
+        "label": "Literary, narrative, and creative writing",
+        "relative_to_run": 0.9665996730860843
+      },
+      {
+        "cells": {
+          "all_quantized": {
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+            "worst_context_id": 708,
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+          "deployed": {
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+            "worst_context_id": 772,
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+          "nvfp4": {
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+            "positions": 196512,
+            "top1_agreement": 0.7806546165119688,
+            "worst_context_id": 716,
+            "worst_context_kld": 1.8106487469337653
+          }
+        },
+        "key": "worked_math_reasoning",
+        "label": "Worked mathematics, science, and formal reasoning",
+        "relative_to_run": 0.8626736765708107
+      },
+      {
+        "cells": {
+          "all_quantized": {
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+            "worst_context_id": 1009,
+            "worst_context_kld": 1.9068635889286882
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+          "deployed": {
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+            "worst_context_id": 1016,
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+          "mxfp8": {
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+            "p90_context_kld": 0.8020196857794187,
+            "positions": 73692,
+            "top1_agreement": 0.8320034739184715,
+            "worst_context_id": 998,
+            "worst_context_kld": 0.9618179285080801
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+          "nvfp4": {
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+            "positions": 73692,
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+            "worst_context_id": 1001,
+            "worst_context_kld": 1.1499422965483683
+          }
+        },
+        "key": "structured_data_tools",
+        "label": "Structured data, tool calls, APIs, JSON, and tables",
+        "relative_to_run": 0.8387464760301078
+      },
+      {
+        "cells": {
+          "all_quantized": {
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+            "positions": 196512,
+            "top1_agreement": 0.8117010666015307,
+            "worst_context_id": 647,
+            "worst_context_kld": 2.0182186901531862
+          },
+          "deployed": {
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+            "p90_context_kld": 1.8674684599616482,
+            "positions": 196512,
+            "top1_agreement": 0.7252330646474515,
+            "worst_context_id": 631,
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+          "mxfp8": {
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+            "positions": 196512,
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+            "worst_context_id": 683,
+            "worst_context_kld": 1.1701674744047748
+          },
+          "nvfp4": {
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+            "mean_kld": 0.5132592529574869,
+            "mean_ref_top1_prob": 0.8422180790368852,
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+            "positions": 196512,
+            "top1_agreement": 0.8380149812734082,
+            "worst_context_id": 635,
+            "worst_context_kld": 1.8701465055601982
+          }
+        },
+        "key": "code_docs_issues",
+        "label": "Source code, tests, technical documentation, and issue discussions",
+        "relative_to_run": 0.7698593929842685
+      }
+    ]
+  },
+  "overall": {
+    "all_quantized": {
+      "contexts": 768,
+      "max_kld": 39.603214263916016,
+      "mean_kld": 0.880903952625625,
+      "mean_ref_top1_prob": 0.72091871112155,
+      "median_context_kld": 0.8298690420287493,
+      "median_context_p99": 8.769773483276367,
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+      "positions": 1572096,
+      "top1_agreement": 0.7195222174727243,
+      "worst_context_id": 327,
+      "worst_context_kld": 2.9719265063124554
+    },
+    "deployed": {
+      "contexts": 768,
+      "max_kld": 43.15247344970703,
+      "mean_kld": 1.5777564987346007,
+      "mean_ref_top1_prob": 0.72091871112155,
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+      "p90_context_kld": 2.3872023431305607,
+      "positions": 1572096,
+      "top1_agreement": 0.6123054826168377,
+      "worst_context_id": 934,
+      "worst_context_kld": 3.7089948429421327
+    },
+    "mxfp8": {
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+      "max_kld": 44.75519561767578,
+      "mean_kld": 0.46808904126519385,
+      "mean_ref_top1_prob": 0.72091871112155,
+      "median_context_kld": 0.4141621782891876,
+      "median_context_p99": 5.832452774047852,
+      "p90_context_kld": 0.8408755750586642,
+      "positions": 1572096,
+      "top1_agreement": 0.8047657394968246,
+      "worst_context_id": 216,
+      "worst_context_kld": 1.6596375001742996
+    },
+    "nvfp4": {
+      "contexts": 768,
+      "max_kld": 35.18211364746094,
+      "mean_kld": 0.6588457176668272,
+      "mean_ref_top1_prob": 0.72091871112155,
+      "median_context_kld": 0.6296393578504391,
+      "median_context_p99": 7.511585235595703,
+      "p90_context_kld": 1.1252841317147846,
+      "positions": 1572096,
+      "top1_agreement": 0.7603428798241328,
+      "worst_context_id": 346,
+      "worst_context_kld": 2.0271412242925955
+    }
+  },
+  "primary": "deployed"
+}

cklaus-gemma-4-26B-A4B-it-NVFP4/strata.md

@@ -0,0 +1,68 @@
+# Fidelity by domain - gemma-4-26B-A4B-it / cklaus-gemma-4-26B-A4B-it-NVFP4
+
+768 contexts, 1572096 scored positions, mean 1.57775650, reference top-1 72.1%, top-1 agreement 61.2305%.
+
+`x run` is the domain's mean divided by the run's mean, so 1.00 is a domain that degrades exactly as much as the model as a whole. `Median ctx` and `p90 ctx` are the spread of per-context means within the domain.
+
+## Ranked by domain
+
+| Domain | Contexts | Ref top-1 | Mean KLD | x run | Median ctx | p90 ctx | Worst ctx |
+|---|---|---|---|---|---|---|---|
+| Other multilingual content | 36 | 70.7% | 1.99316438 | 1.26 | 1.91569579 | 3.47044331 | 3.708995 |
+| Natural dialogue, instruction following, and assistance | 96 | 77.3% | 1.86077931 | 1.18 | 1.93739169 | 2.76061385 | 3.281604 |
+| Scientific and technical exposition | 96 | 69.8% | 1.75158066 | 1.11 | 1.81208731 | 2.53121189 | 3.020815 |
+| Encyclopedic and factual reference | 96 | 68.9% | 1.70851321 | 1.08 | 1.75251010 | 2.41252063 | 3.321176 |
+| Chinese across several content types | 72 | 63.3% | 1.57733700 | 1.00 | 1.53042087 | 2.38457325 | 3.093330 |
+| News, history, economics, legal analysis, and essays | 72 | 68.9% | 1.53993858 | 0.98 | 1.56490394 | 2.31831773 | 3.086323 |
+| Literary, narrative, and creative writing | 72 | 62.9% | 1.52505892 | 0.97 | 1.53256569 | 2.26747569 | 2.894772 |
+| Worked mathematics, science, and formal reasoning | 96 | 72.4% | 1.36108900 | 0.86 | 1.28167655 | 2.05913957 | 2.693044 |
+| Structured data, tool calls, APIs, JSON, and tables | 36 | 83.3% | 1.32333770 | 0.84 | 1.28090448 | 2.20146678 | 2.985856 |
+| Source code, tests, technical documentation, and issue discussions | 96 | 84.2% | 1.21465066 | 0.77 | 1.20981955 | 1.86746846 | 2.993868 |
+
+## The same domains across the ladder
+
+Each column is a separate measurement of the same contexts, so a domain that moves between columns is one the format treats differently.
+
+| Domain | deployed | mxfp8 | nvfp4 | all_quantized |
+|---|---|---|---|---|
+| Other multilingual content | 1.99316438 | 0.60547717 | 0.83417492 | 1.10016318 |
+| Natural dialogue, instruction following, and assistance | 1.86077931 | 0.59360268 | 0.81214064 | 1.06935882 |
+| Scientific and technical exposition | 1.75158066 | 0.49939479 | 0.69630321 | 0.94717513 |
+| Encyclopedic and factual reference | 1.70851321 | 0.48326683 | 0.70706639 | 0.95198648 |
+| Chinese across several content types | 1.57733700 | 0.46550453 | 0.68079090 | 0.94426212 |
+| News, history, economics, legal analysis, and essays | 1.53993858 | 0.46316973 | 0.63722594 | 0.86441839 |
+| Literary, narrative, and creative writing | 1.52505892 | 0.39760530 | 0.61395641 | 0.84032961 |
+| Worked mathematics, science, and formal reasoning | 1.36108900 | 0.39846297 | 0.55025835 | 0.71140818 |
+| Structured data, tool calls, APIs, JSON, and tables | 1.32333770 | 0.48035757 | 0.61317963 | 0.76892288 |
+| Source code, tests, technical documentation, and issue discussions | 1.21465066 | 0.36808736 | 0.51325925 | 0.67963816 |
+
+## Ranked by source dataset
+
+| Source | Contexts | Ref top-1 | Mean KLD | x run | Median ctx | p90 ctx | Worst ctx |
+|---|---|---|---|---|---|---|---|
+| wikipedia_ru | 6 | 68.3% | 3.07175450 | 1.95 | 3.21501052 | 3.67532882 | 3.675329 |
+| wikipedia_cs | 6 | 70.6% | 2.40120166 | 1.52 | 2.27747286 | 3.70899484 | 3.708995 |
+| wildchat | 96 | 77.3% | 1.86077931 | 1.18 | 1.93739169 | 2.76061385 | 3.281604 |
+| scientific_papers | 96 | 69.8% | 1.75158066 | 1.11 | 1.81208731 | 2.53121189 | 3.020815 |
+| wikipedia_zh | 39 | 62.4% | 1.73588355 | 1.10 | 1.72418279 | 2.44651929 | 3.029586 |
+| open_news | 23 | 66.5% | 1.73562973 | 1.10 | 1.66818888 | 2.79312296 | 3.086323 |
+| wikipedia_de | 7 | 77.2% | 1.72948335 | 1.10 | 1.82686342 | 2.03408631 | 2.034086 |
+| wikipedia_fr | 3 | 69.4% | 1.71507724 | 1.09 | 1.70715564 | 2.13885421 | 2.138854 |
+| wikipedia_en | 96 | 68.9% | 1.70851321 | 1.08 | 1.75251010 | 2.41252063 | 3.321176 |
+| wikipedia_ja | 7 | 69.8% | 1.64585140 | 1.04 | 1.71070198 | 2.23732501 | 2.237325 |
+| public_domain_review | 26 | 64.7% | 1.56850769 | 0.99 | 1.55913166 | 2.39795134 | 2.938501 |
+| public_domain_books | 72 | 62.9% | 1.52505892 | 0.97 | 1.53256569 | 2.26747569 | 2.894772 |
+| wikipedia_es | 7 | 67.9% | 1.44908655 | 0.92 | 1.66263740 | 2.26208240 | 2.262082 |
+| wikisource_zh | 33 | 64.5% | 1.38996381 | 0.88 | 1.36562370 | 1.89852039 | 3.093330 |
+| libretexts | 96 | 72.4% | 1.36108900 | 0.86 | 1.28167655 | 2.05913957 | 2.693044 |
+| starcoder_structured | 36 | 83.3% | 1.32333770 | 0.84 | 1.28090448 | 2.20146678 | 2.985856 |
+| regulations | 23 | 76.1% | 1.31195191 | 0.83 | 1.44353883 | 1.87246585 | 2.926275 |
+| github_code | 52 | 87.8% | 1.22998078 | 0.78 | 1.24530777 | 1.78316671 | 2.993868 |
+| stackv2 | 44 | 80.0% | 1.19653324 | 0.76 | 1.20981955 | 1.86746846 | 2.063338 |
+
+## Reading
+
+- Weakest domain: **Other multilingual content** at 1.99316438, 1.26x the run mean of 1.57775650 over 36 context(s).
+- Strongest domain: **Source code, tests, technical documentation, and issue discussions** at 1.21465066, 0.77x the run mean. The spread across domains is 1.6x.
+- Every cell is weakest on the same domain (Other multilingual content), so the ranking is a property of the model and the text rather than of one format.
+

environment/gpu-clocks.txt

@@ -0,0 +1,9 @@
+### nvidia-smi --query-gpu=index,name,serial,uuid,driver_version,vbios_version,pstate,clocks.sm,clocks.max.sm,power.limit,persistence_mode,ecc.mode.current --format=csv
+
+index, name, serial, uuid, driver_version, vbios_version, pstate, clocks.current.sm [MHz], clocks.max.sm [MHz], power.limit [W], persistence_mode, ecc.mode.current
+0, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, 1794225038968, GPU-41235b51-d6ab-afe6-c393-e1c377b81299, 580.173.02, 98.02.81.00.07, P0, 2475 MHz, 4087 MHz, 575.00 W, Disabled, Disabled
+1, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, 1793025105275, GPU-547cb69a-4bcf-5f0a-c154-5397b1dc5a78, 580.173.02, 98.02.81.00.07, P8, 1177 MHz, 4087 MHz, 575.00 W, Disabled, Disabled
+2, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, 1792925028706, GPU-0f14730c-9c8d-aa20-9478-324d31766353, 580.173.02, 98.02.81.00.07, P8, 1177 MHz, 4080 MHz, 575.00 W, Disabled, Disabled
+3, NVIDIA RTX PRO 6000 Blackwell Workstation Edition, 1794125045055, GPU-2aea821a-9e57-5a64-9471-83306dddcd97, 580.173.02, 98.02.81.00.07, P8, 1177 MHz, 4087 MHz, 575.00 W, Disabled, Disabled
+
+### exit=0

environment/gpu-smi-query.txt

@@ -0,0 +1,1008 @@
+### nvidia-smi -q
+
+
+==============NVSMI LOG==============
+
+Timestamp                                              : Wed Sep  2 20:09:29 2026
+Driver Version                                         : 580.173.02
+CUDA Version                                           : 13.0
+
+Attached GPUs                                          : 4
+GPU 00000000:01:00.0
+    Product Name                                       : NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+    Product Brand                                      : NVIDIA RTX
+    Product Architecture                               : Blackwell
+    Display Mode                                       : Requested functionality has been deprecated
+    Display Attached                                   : No
+    Display Active                                     : Disabled
+    Persistence Mode                                   : Disabled
+    Addressing Mode                                    : HMM
+    MIG Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    Accounting Mode                                    : Disabled
+    Accounting Mode Buffer Size                        : 4000
+    Driver Model
+        Current                                        : N/A
+        Pending                                        : N/A
+    Serial Number                                      : 1794225038968
+    GPU UUID                                           : GPU-41235b51-d6ab-afe6-c393-e1c377b81299
+    GPU PDI                                            : 0xeefb1c3fe5c8702b
+    Minor Number                                       : 0
+    VBIOS Version                                      : 98.02.81.00.07
+    MultiGPU Board                                     : No
+    Board ID                                           : 0x100
+    Board Part Number                                  : 900-5G144-2200-000
+    GPU Part Number                                    : 2BB1-870-A1
+    FRU Part Number                                    : N/A
+    Platform Info
+        Chassis Serial Number                          : 
+        Slot Number                                    : 0
+        Tray Index                                     : 0
+        Host ID                                        : 1
+        Peer Type                                      : Direct Connected
+        Module Id                                      : 1
+        GPU Fabric GUID                                : 0x0000000000000000
+    Inforom Version
+        Image Version                                  : G144.0520.00.02
+        OEM Object                                     : 2.1
+        ECC Object                                     : 7.16
+        Power Management Object                        : N/A
+    Inforom BBX Object Flush
+        Latest Timestamp                               : 2026/09/02 19:35:56.352
+        Latest Duration                                : 58298 us
+    GPU Operation Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    GPU C2C Mode                                       : Disabled
+    GPU Virtualization Mode
+        Virtualization Mode                            : None
+        Host VGPU Mode                                 : N/A
+        vGPU Heterogeneous Mode                        : N/A
+    GPU Recovery Action                                : None
+    GSP Firmware Version                               : 580.173.02
+    IBMNPU
+        Relaxed Ordering Mode                          : N/A
+    PCI
+        Bus                                            : 0x01
+        Device                                         : 0x00
+        Domain                                         : 0x0000
+        Base Classcode                                 : 0x3
+        Sub Classcode                                  : 0x0
+        Device Id                                      : 0x2BB110DE
+        Bus Id                                         : 00000000:01:00.0
+        Sub System Id                                  : 0x204B10DE
+        GPU Link Info
+            PCIe Generation
+                Max                                    : 5
+                Current                                : 5
+                Device Current                         : 5
+                Device Max                             : 5
+                Host Max                               : 5
+            Link Width
+                Max                                    : 16x
+                Current                                : 16x
+        Bridge Chip
+            Type                                       : N/A
+            Firmware                                   : N/A
+        Replays Since Reset                            : 38009
+        Replay Number Rollovers                        : 0
+        Tx Throughput                                  : 837 KB/s
+        Rx Throughput                                  : 510 KB/s
+        Atomic Caps Outbound                           : N/A
+        Atomic Caps Inbound                            : FETCHADD_32 FETCHADD_64 SWAP_32 SWAP_64 CAS_32 CAS_64 
+    Fan Speed                                          : 30 %
+    Performance State                                  : P1
+    Clocks Event Reasons
+        Idle                                           : Not Active
+        Applications Clocks Setting                    : Not Active
+        SW Power Cap                                   : Not Active
+        HW Slowdown                                    : Not Active
+            HW Thermal Slowdown                        : Not Active
+            HW Power Brake Slowdown                    : Not Active
+        Sync Boost                                     : Not Active
+        SW Thermal Slowdown                            : Not Active
+        Display Clock Setting                          : Not Active
+    Clocks Event Reasons Counters
+        SW Power Capping                               : 2614908053 us
+        Sync Boost                                     : 0 us
+        SW Thermal Slowdown                            : 0 us
+        HW Thermal Slowdown                            : 0 us
+        HW Power Braking                               : 0 us
+    Sparse Operation Mode                              : N/A
+    FB Memory Usage
+        Total                                          : 97887 MiB
+        Reserved                                       : 640 MiB
+        Used                                           : 2 MiB
+        Free                                           : 97247 MiB
+    BAR1 Memory Usage
+        Total                                          : 256 MiB
+        Used                                           : 2 MiB
+        Free                                           : 254 MiB
+    Conf Compute Protected Memory Usage
+        Total                                          : 0 MiB
+        Used                                           : 0 MiB
+        Free                                           : 0 MiB
+    Compute Mode                                       : Default
+    Utilization
+        GPU                                            : 0 %
+        Memory                                         : 0 %
+        Encoder                                        : 0 %
+        Decoder                                        : 0 %
+        JPEG                                           : 0 %
+        OFA                                            : 0 %
+    Encoder Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    FBC Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    DRAM Encryption Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Errors
+        Volatile
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+        Aggregate
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+            SRAM Threshold Exceeded                    : N/A
+        Aggregate Uncorrectable SRAM Sources
+            SRAM L2                                    : N/A
+            SRAM SM                                    : N/A
+            SRAM Microcontroller                       : N/A
+            SRAM PCIE                                  : N/A
+            SRAM Other                                 : N/A
+        Channel Repair Pending                         : No
+        TPC Repair Pending                             : No
+        Unrepairable Memory                            : N/A
+    Retired Pages
+        Single Bit ECC                                 : N/A
+        Double Bit ECC                                 : N/A
+        Pending Page Blacklist                         : N/A
+    Remapped Rows
+        Correctable Error                              : 0
+        Inactive Correctable Error                     : 0
+        Uncorrectable Error                            : 0
+        Inactive Uncorrectable Error                   : 0
+        Pending                                        : No
+        Remapping Failure Occurred                     : No
+        Bank Remap Availability Histogram
+            Max                                        : 512 bank(s)
+            High                                       : 0 bank(s)
+            Partial                                    : 0 bank(s)
+            Low                                        : 0 bank(s)
+            None                                       : 0 bank(s)
+    Temperature
+        GPU Current Temp                               : 33 C
+        GPU T.Limit Temp                               : 60 C
+        GPU Shutdown T.Limit Temp                      : -5 C
+        GPU Slowdown T.Limit Temp                      : -2 C
+        GPU Max Operating T.Limit Temp                 : 0 C
+        GPU Target Temperature                         : N/A
+        Memory Current Temp                            : N/A
+        Memory Max Operating T.Limit Temp              : N/A
+    GPU Power Readings
+        Average Power Draw                             : 71.92 W
+        Instantaneous Power Draw                       : 73.61 W
+        Current Power Limit                            : 575.00 W
+        Requested Power Limit                          : 575.00 W
+        Default Power Limit                            : 600.00 W
+        Min Power Limit                                : 150.00 W
+        Max Power Limit                                : 600.00 W
+    GPU Memory Power Readings 
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+    Module Power Readings
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+        Current Power Limit                            : N/A
+        Requested Power Limit                          : N/A
+        Default Power Limit                            : N/A
+        Min Power Limit                                : N/A
+        Max Power Limit                                : N/A
+    Power Smoothing                                    : N/A
+    Workload Power Profiles
+        Requested Profiles                             : N/A
+        Enforced Profiles                              : N/A
+    Clocks
+        Graphics                                       : 2475 MHz
+        SM                                             : 2475 MHz
+        Memory                                         : 14865 MHz
+        Video                                          : 1950 MHz
+    Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Default Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Deferred Clocks
+        Memory                                         : N/A
+    Max Clocks
+        Graphics                                       : 4087 MHz
+        SM                                             : 4087 MHz
+        Memory                                         : 15501 MHz
+        Video                                          : 3090 MHz
+    Max Customer Boost Clocks
+        Graphics                                       : N/A
+    Clock Policy
+        Auto Boost                                     : N/A
+        Auto Boost Default                             : N/A
+    Fabric
+        State                                          : N/A
+        Status                                         : N/A
+        CliqueId                                       : N/A
+        ClusterUUID                                    : N/A
+        Health
+            Summary                                    : N/A
+            Bandwidth                                  : N/A
+            Route Recovery in progress                 : N/A
+            Route Unhealthy                            : N/A
+            Access Timeout Recovery                    : N/A
+            Incorrect Configuration                    : N/A
+            Partition Assigned                         : N/A
+    Processes                                          : None
+    Capabilities
+        EGM                                            : disabled
+
+GPU 00000000:21:00.0
+    Product Name                                       : NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+    Product Brand                                      : NVIDIA RTX
+    Product Architecture                               : Blackwell
+    Display Mode                                       : Requested functionality has been deprecated
+    Display Attached                                   : No
+    Display Active                                     : Disabled
+    Persistence Mode                                   : Disabled
+    Addressing Mode                                    : HMM
+    MIG Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    Accounting Mode                                    : Disabled
+    Accounting Mode Buffer Size                        : 4000
+    Driver Model
+        Current                                        : N/A
+        Pending                                        : N/A
+    Serial Number                                      : 1793025105275
+    GPU UUID                                           : GPU-547cb69a-4bcf-5f0a-c154-5397b1dc5a78
+    GPU PDI                                            : 0x51d8e032452d9085
+    Minor Number                                       : 3
+    VBIOS Version                                      : 98.02.81.00.07
+    MultiGPU Board                                     : No
+    Board ID                                           : 0x2100
+    Board Part Number                                  : 900-5G144-2200-000
+    GPU Part Number                                    : 2BB1-870-A1
+    FRU Part Number                                    : N/A
+    Platform Info
+        Chassis Serial Number                          : 
+        Slot Number                                    : 0
+        Tray Index                                     : 0
+        Host ID                                        : 1
+        Peer Type                                      : Direct Connected
+        Module Id                                      : 1
+        GPU Fabric GUID                                : 0x0000000000000000
+    Inforom Version
+        Image Version                                  : G144.0520.00.02
+        OEM Object                                     : 2.1
+        ECC Object                                     : 7.16
+        Power Management Object                        : N/A
+    Inforom BBX Object Flush
+        Latest Timestamp                               : 2026/09/02 19:36:18.086
+        Latest Duration                                : 64784 us
+    GPU Operation Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    GPU C2C Mode                                       : Disabled
+    GPU Virtualization Mode
+        Virtualization Mode                            : None
+        Host VGPU Mode                                 : N/A
+        vGPU Heterogeneous Mode                        : N/A
+    GPU Recovery Action                                : None
+    GSP Firmware Version                               : 580.173.02
+    IBMNPU
+        Relaxed Ordering Mode                          : N/A
+    PCI
+        Bus                                            : 0x21
+        Device                                         : 0x00
+        Domain                                         : 0x0000
+        Base Classcode                                 : 0x3
+        Sub Classcode                                  : 0x0
+        Device Id                                      : 0x2BB110DE
+        Bus Id                                         : 00000000:21:00.0
+        Sub System Id                                  : 0x204B10DE
+        GPU Link Info
+            PCIe Generation
+                Max                                    : 5
+                Current                                : 1
+                Device Current                         : 1
+                Device Max                             : 5
+                Host Max                               : 5
+            Link Width
+                Max                                    : 16x
+                Current                                : 16x
+        Bridge Chip
+            Type                                       : N/A
+            Firmware                                   : N/A
+        Replays Since Reset                            : 146
+        Replay Number Rollovers                        : 0
+        Tx Throughput                                  : 1471 KB/s
+        Rx Throughput                                  : 483 KB/s
+        Atomic Caps Outbound                           : N/A
+        Atomic Caps Inbound                            : FETCHADD_32 FETCHADD_64 SWAP_32 SWAP_64 CAS_32 CAS_64 
+    Fan Speed                                          : 30 %
+    Performance State                                  : P8
+    Clocks Event Reasons
+        Idle                                           : Not Active
+        Applications Clocks Setting                    : Not Active
+        SW Power Cap                                   : Not Active
+        HW Slowdown                                    : Not Active
+            HW Thermal Slowdown                        : Not Active
+            HW Power Brake Slowdown                    : Not Active
+        Sync Boost                                     : Not Active
+        SW Thermal Slowdown                            : Not Active
+        Display Clock Setting                          : Not Active
+    Clocks Event Reasons Counters
+        SW Power Capping                               : 201492 us
+        Sync Boost                                     : 0 us
+        SW Thermal Slowdown                            : 0 us
+        HW Thermal Slowdown                            : 0 us
+        HW Power Braking                               : 0 us
+    Sparse Operation Mode                              : N/A
+    FB Memory Usage
+        Total                                          : 97887 MiB
+        Reserved                                       : 640 MiB
+        Used                                           : 2 MiB
+        Free                                           : 97247 MiB
+    BAR1 Memory Usage
+        Total                                          : 256 MiB
+        Used                                           : 2 MiB
+        Free                                           : 254 MiB
+    Conf Compute Protected Memory Usage
+        Total                                          : 0 MiB
+        Used                                           : 0 MiB
+        Free                                           : 0 MiB
+    Compute Mode                                       : Default
+    Utilization
+        GPU                                            : 0 %
+        Memory                                         : 0 %
+        Encoder                                        : 0 %
+        Decoder                                        : 0 %
+        JPEG                                           : 0 %
+        OFA                                            : 0 %
+    Encoder Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    FBC Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    DRAM Encryption Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Errors
+        Volatile
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+        Aggregate
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+            SRAM Threshold Exceeded                    : N/A
+        Aggregate Uncorrectable SRAM Sources
+            SRAM L2                                    : N/A
+            SRAM SM                                    : N/A
+            SRAM Microcontroller                       : N/A
+            SRAM PCIE                                  : N/A
+            SRAM Other                                 : N/A
+        Channel Repair Pending                         : No
+        TPC Repair Pending                             : No
+        Unrepairable Memory                            : N/A
+    Retired Pages
+        Single Bit ECC                                 : N/A
+        Double Bit ECC                                 : N/A
+        Pending Page Blacklist                         : N/A
+    Remapped Rows
+        Correctable Error                              : 0
+        Inactive Correctable Error                     : 0
+        Uncorrectable Error                            : 0
+        Inactive Uncorrectable Error                   : 0
+        Pending                                        : No
+        Remapping Failure Occurred                     : No
+        Bank Remap Availability Histogram
+            Max                                        : 512 bank(s)
+            High                                       : 0 bank(s)
+            Partial                                    : 0 bank(s)
+            Low                                        : 0 bank(s)
+            None                                       : 0 bank(s)
+    Temperature
+        GPU Current Temp                               : 29 C
+        GPU T.Limit Temp                               : 64 C
+        GPU Shutdown T.Limit Temp                      : -5 C
+        GPU Slowdown T.Limit Temp                      : -2 C
+        GPU Max Operating T.Limit Temp                 : 0 C
+        GPU Target Temperature                         : N/A
+        Memory Current Temp                            : N/A
+        Memory Max Operating T.Limit Temp              : N/A
+    GPU Power Readings
+        Average Power Draw                             : 9.38 W
+        Instantaneous Power Draw                       : 13.39 W
+        Current Power Limit                            : 575.00 W
+        Requested Power Limit                          : 575.00 W
+        Default Power Limit                            : 600.00 W
+        Min Power Limit                                : 150.00 W
+        Max Power Limit                                : 600.00 W
+    GPU Memory Power Readings 
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+    Module Power Readings
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+        Current Power Limit                            : N/A
+        Requested Power Limit                          : N/A
+        Default Power Limit                            : N/A
+        Min Power Limit                                : N/A
+        Max Power Limit                                : N/A
+    Power Smoothing                                    : N/A
+    Workload Power Profiles
+        Requested Profiles                             : N/A
+        Enforced Profiles                              : N/A
+    Clocks
+        Graphics                                       : 1177 MHz
+        SM                                             : 1177 MHz
+        Memory                                         : 405 MHz
+        Video                                          : 600 MHz
+    Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Default Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Deferred Clocks
+        Memory                                         : N/A
+    Max Clocks
+        Graphics                                       : 4087 MHz
+        SM                                             : 4087 MHz
+        Memory                                         : 15501 MHz
+        Video                                          : 3090 MHz
+    Max Customer Boost Clocks
+        Graphics                                       : N/A
+    Clock Policy
+        Auto Boost                                     : N/A
+        Auto Boost Default                             : N/A
+    Fabric
+        State                                          : N/A
+        Status                                         : N/A
+        CliqueId                                       : N/A
+        ClusterUUID                                    : N/A
+        Health
+            Summary                                    : N/A
+            Bandwidth                                  : N/A
+            Route Recovery in progress                 : N/A
+            Route Unhealthy                            : N/A
+            Access Timeout Recovery                    : N/A
+            Incorrect Configuration                    : N/A
+            Partition Assigned                         : N/A
+    Processes                                          : None
+    Capabilities
+        EGM                                            : disabled
+
+GPU 00000000:41:00.0
+    Product Name                                       : NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+    Product Brand                                      : NVIDIA RTX
+    Product Architecture                               : Blackwell
+    Display Mode                                       : Requested functionality has been deprecated
+    Display Attached                                   : No
+    Display Active                                     : Disabled
+    Persistence Mode                                   : Disabled
+    Addressing Mode                                    : HMM
+    MIG Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    Accounting Mode                                    : Disabled
+    Accounting Mode Buffer Size                        : 4000
+    Driver Model
+        Current                                        : N/A
+        Pending                                        : N/A
+    Serial Number                                      : 1792925028706
+    GPU UUID                                           : GPU-0f14730c-9c8d-aa20-9478-324d31766353
+    GPU PDI                                            : 0x1bf8532fb3a1d5ab
+    Minor Number                                       : 1
+    VBIOS Version                                      : 98.02.81.00.07
+    MultiGPU Board                                     : No
+    Board ID                                           : 0x4100
+    Board Part Number                                  : 900-5G144-2200-000
+    GPU Part Number                                    : 2BB1-870-A1
+    FRU Part Number                                    : N/A
+    Platform Info
+        Chassis Serial Number                          : 
+        Slot Number                                    : 0
+        Tray Index                                     : 0
+        Host ID                                        : 1
+        Peer Type                                      : Direct Connected
+        Module Id                                      : 1
+        GPU Fabric GUID                                : 0x0000000000000000
+    Inforom Version
+        Image Version                                  : G144.0520.00.02
+        OEM Object                                     : 2.1
+        ECC Object                                     : 7.16
+        Power Management Object                        : N/A
+    Inforom BBX Object Flush
+        Latest Timestamp                               : 2026/09/02 19:37:21.785
+        Latest Duration                                : 68842 us
+    GPU Operation Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    GPU C2C Mode                                       : Disabled
+    GPU Virtualization Mode
+        Virtualization Mode                            : None
+        Host VGPU Mode                                 : N/A
+        vGPU Heterogeneous Mode                        : N/A
+    GPU Recovery Action                                : None
+    GSP Firmware Version                               : 580.173.02
+    IBMNPU
+        Relaxed Ordering Mode                          : N/A
+    PCI
+        Bus                                            : 0x41
+        Device                                         : 0x00
+        Domain                                         : 0x0000
+        Base Classcode                                 : 0x3
+        Sub Classcode                                  : 0x0
+        Device Id                                      : 0x2BB110DE
+        Bus Id                                         : 00000000:41:00.0
+        Sub System Id                                  : 0x204B10DE
+        GPU Link Info
+            PCIe Generation
+                Max                                    : 5
+                Current                                : 1
+                Device Current                         : 1
+                Device Max                             : 5
+                Host Max                               : 5
+            Link Width
+                Max                                    : 16x
+                Current                                : 16x
+        Bridge Chip
+            Type                                       : N/A
+            Firmware                                   : N/A
+        Replays Since Reset                            : 3
+        Replay Number Rollovers                        : 0
+        Tx Throughput                                  : 892 KB/s
+        Rx Throughput                                  : 533 KB/s
+        Atomic Caps Outbound                           : N/A
+        Atomic Caps Inbound                            : FETCHADD_32 FETCHADD_64 SWAP_32 SWAP_64 CAS_32 CAS_64 
+    Fan Speed                                          : 30 %
+    Performance State                                  : P8
+    Clocks Event Reasons
+        Idle                                           : Not Active
+        Applications Clocks Setting                    : Not Active
+        SW Power Cap                                   : Not Active
+        HW Slowdown                                    : Not Active
+            HW Thermal Slowdown                        : Not Active
+            HW Power Brake Slowdown                    : Not Active
+        Sync Boost                                     : Not Active
+        SW Thermal Slowdown                            : Not Active
+        Display Clock Setting                          : Not Active
+    Clocks Event Reasons Counters
+        SW Power Capping                               : 717008 us
+        Sync Boost                                     : 0 us
+        SW Thermal Slowdown                            : 0 us
+        HW Thermal Slowdown                            : 0 us
+        HW Power Braking                               : 0 us
+    Sparse Operation Mode                              : N/A
+    FB Memory Usage
+        Total                                          : 97887 MiB
+        Reserved                                       : 640 MiB
+        Used                                           : 2 MiB
+        Free                                           : 97247 MiB
+    BAR1 Memory Usage
+        Total                                          : 256 MiB
+        Used                                           : 2 MiB
+        Free                                           : 254 MiB
+    Conf Compute Protected Memory Usage
+        Total                                          : 0 MiB
+        Used                                           : 0 MiB
+        Free                                           : 0 MiB
+    Compute Mode                                       : Default
+    Utilization
+        GPU                                            : 0 %
+        Memory                                         : 0 %
+        Encoder                                        : 0 %
+        Decoder                                        : 0 %
+        JPEG                                           : 0 %
+        OFA                                            : 0 %
+    Encoder Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    FBC Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    DRAM Encryption Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Errors
+        Volatile
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+        Aggregate
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+            SRAM Threshold Exceeded                    : N/A
+        Aggregate Uncorrectable SRAM Sources
+            SRAM L2                                    : N/A
+            SRAM SM                                    : N/A
+            SRAM Microcontroller                       : N/A
+            SRAM PCIE                                  : N/A
+            SRAM Other                                 : N/A
+        Channel Repair Pending                         : No
+        TPC Repair Pending                             : No
+        Unrepairable Memory                            : N/A
+    Retired Pages
+        Single Bit ECC                                 : N/A
+        Double Bit ECC                                 : N/A
+        Pending Page Blacklist                         : N/A
+    Remapped Rows
+        Correctable Error                              : 0
+        Inactive Correctable Error                     : 0
+        Uncorrectable Error                            : 0
+        Inactive Uncorrectable Error                   : 0
+        Pending                                        : No
+        Remapping Failure Occurred                     : No
+        Bank Remap Availability Histogram
+            Max                                        : 512 bank(s)
+            High                                       : 0 bank(s)
+            Partial                                    : 0 bank(s)
+            Low                                        : 0 bank(s)
+            None                                       : 0 bank(s)
+    Temperature
+        GPU Current Temp                               : 30 C
+        GPU T.Limit Temp                               : 63 C
+        GPU Shutdown T.Limit Temp                      : -5 C
+        GPU Slowdown T.Limit Temp                      : -2 C
+        GPU Max Operating T.Limit Temp                 : 0 C
+        GPU Target Temperature                         : N/A
+        Memory Current Temp                            : N/A
+        Memory Max Operating T.Limit Temp              : N/A
+    GPU Power Readings
+        Average Power Draw                             : 16.60 W
+        Instantaneous Power Draw                       : 20.55 W
+        Current Power Limit                            : 575.00 W
+        Requested Power Limit                          : 575.00 W
+        Default Power Limit                            : 600.00 W
+        Min Power Limit                                : 150.00 W
+        Max Power Limit                                : 600.00 W
+    GPU Memory Power Readings 
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+    Module Power Readings
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+        Current Power Limit                            : N/A
+        Requested Power Limit                          : N/A
+        Default Power Limit                            : N/A
+        Min Power Limit                                : N/A
+        Max Power Limit                                : N/A
+    Power Smoothing                                    : N/A
+    Workload Power Profiles
+        Requested Profiles                             : N/A
+        Enforced Profiles                              : N/A
+    Clocks
+        Graphics                                       : 1177 MHz
+        SM                                             : 1177 MHz
+        Memory                                         : 405 MHz
+        Video                                          : 600 MHz
+    Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Default Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Deferred Clocks
+        Memory                                         : N/A
+    Max Clocks
+        Graphics                                       : 4080 MHz
+        SM                                             : 4080 MHz
+        Memory                                         : 15501 MHz
+        Video                                          : 3090 MHz
+    Max Customer Boost Clocks
+        Graphics                                       : N/A
+    Clock Policy
+        Auto Boost                                     : N/A
+        Auto Boost Default                             : N/A
+    Fabric
+        State                                          : N/A
+        Status                                         : N/A
+        CliqueId                                       : N/A
+        ClusterUUID                                    : N/A
+        Health
+            Summary                                    : N/A
+            Bandwidth                                  : N/A
+            Route Recovery in progress                 : N/A
+            Route Unhealthy                            : N/A
+            Access Timeout Recovery                    : N/A
+            Incorrect Configuration                    : N/A
+            Partition Assigned                         : N/A
+    Processes                                          : None
+    Capabilities
+        EGM                                            : disabled
+
+GPU 00000000:C1:00.0
+    Product Name                                       : NVIDIA RTX PRO 6000 Blackwell Workstation Edition
+    Product Brand                                      : NVIDIA RTX
+    Product Architecture                               : Blackwell
+    Display Mode                                       : Requested functionality has been deprecated
+    Display Attached                                   : No
+    Display Active                                     : Disabled
+    Persistence Mode                                   : Disabled
+    Addressing Mode                                    : HMM
+    MIG Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    Accounting Mode                                    : Disabled
+    Accounting Mode Buffer Size                        : 4000
+    Driver Model
+        Current                                        : N/A
+        Pending                                        : N/A
+    Serial Number                                      : 1794125045055
+    GPU UUID                                           : GPU-2aea821a-9e57-5a64-9471-83306dddcd97
+    GPU PDI                                            : 0xd0aced735610aab7
+    Minor Number                                       : 2
+    VBIOS Version                                      : 98.02.81.00.07
+    MultiGPU Board                                     : No
+    Board ID                                           : 0xc100
+    Board Part Number                                  : 900-5G144-2200-000
+    GPU Part Number                                    : 2BB1-870-A1
+    FRU Part Number                                    : N/A
+    Platform Info
+        Chassis Serial Number                          : 
+        Slot Number                                    : 0
+        Tray Index                                     : 0
+        Host ID                                        : 1
+        Peer Type                                      : Direct Connected
+        Module Id                                      : 1
+        GPU Fabric GUID                                : 0x0000000000000000
+    Inforom Version
+        Image Version                                  : G144.0520.00.02
+        OEM Object                                     : 2.1
+        ECC Object                                     : 7.16
+        Power Management Object                        : N/A
+    Inforom BBX Object Flush
+        Latest Timestamp                               : 2026/09/01 21:13:49.704
+        Latest Duration                                : 30647 us
+    GPU Operation Mode
+        Current                                        : N/A
+        Pending                                        : N/A
+    GPU C2C Mode                                       : Disabled
+    GPU Virtualization Mode
+        Virtualization Mode                            : None
+        Host VGPU Mode                                 : N/A
+        vGPU Heterogeneous Mode                        : N/A
+    GPU Recovery Action                                : None
+    GSP Firmware Version                               : 580.173.02
+    IBMNPU
+        Relaxed Ordering Mode                          : N/A
+    PCI
+        Bus                                            : 0xC1
+        Device                                         : 0x00
+        Domain                                         : 0x0000
+        Base Classcode                                 : 0x3
+        Sub Classcode                                  : 0x0
+        Device Id                                      : 0x2BB110DE
+        Bus Id                                         : 00000000:C1:00.0
+        Sub System Id                                  : 0x204B10DE
+        GPU Link Info
+            PCIe Generation
+                Max                                    : 5
+                Current                                : 1
+                Device Current                         : 1
+                Device Max                             : 5
+                Host Max                               : 5
+            Link Width
+                Max                                    : 16x
+                Current                                : 4x
+        Bridge Chip
+            Type                                       : N/A
+            Firmware                                   : N/A
+        Replays Since Reset                            : 0
+        Replay Number Rollovers                        : 0
+        Tx Throughput                                  : 670 KB/s
+        Rx Throughput                                  : 438 KB/s
+        Atomic Caps Outbound                           : N/A
+        Atomic Caps Inbound                            : FETCHADD_32 FETCHADD_64 SWAP_32 SWAP_64 CAS_32 CAS_64 
+    Fan Speed                                          : 30 %
+    Performance State                                  : P8
+    Clocks Event Reasons
+        Idle                                           : Not Active
+        Applications Clocks Setting                    : Not Active
+        SW Power Cap                                   : Not Active
+        HW Slowdown                                    : Not Active
+            HW Thermal Slowdown                        : Not Active
+            HW Power Brake Slowdown                    : Not Active
+        Sync Boost                                     : Not Active
+        SW Thermal Slowdown                            : Not Active
+        Display Clock Setting                          : Not Active
+    Clocks Event Reasons Counters
+        SW Power Capping                               : 1446390 us
+        Sync Boost                                     : 0 us
+        SW Thermal Slowdown                            : 0 us
+        HW Thermal Slowdown                            : 0 us
+        HW Power Braking                               : 0 us
+    Sparse Operation Mode                              : N/A
+    FB Memory Usage
+        Total                                          : 97887 MiB
+        Reserved                                       : 640 MiB
+        Used                                           : 2 MiB
+        Free                                           : 97247 MiB
+    BAR1 Memory Usage
+        Total                                          : 256 MiB
+        Used                                           : 2 MiB
+        Free                                           : 254 MiB
+    Conf Compute Protected Memory Usage
+        Total                                          : 0 MiB
+        Used                                           : 0 MiB
+        Free                                           : 0 MiB
+    Compute Mode                                       : Default
+    Utilization
+        GPU                                            : 0 %
+        Memory                                         : 0 %
+        Encoder                                        : 0 %
+        Decoder                                        : 0 %
+        JPEG                                           : 0 %
+        OFA                                            : 0 %
+    Encoder Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    FBC Stats
+        Active Sessions                                : 0
+        Average FPS                                    : 0
+        Average Latency                                : 0
+    DRAM Encryption Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Mode
+        Current                                        : Disabled
+        Pending                                        : Disabled
+    ECC Errors
+        Volatile
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+        Aggregate
+            SRAM Correctable                           : N/A
+            SRAM Uncorrectable Parity                  : N/A
+            SRAM Uncorrectable SEC-DED                 : N/A
+            DRAM Correctable                           : N/A
+            DRAM Uncorrectable                         : N/A
+            SRAM Threshold Exceeded                    : N/A
+        Aggregate Uncorrectable SRAM Sources
+            SRAM L2                                    : N/A
+            SRAM SM                                    : N/A
+            SRAM Microcontroller                       : N/A
+            SRAM PCIE                                  : N/A
+            SRAM Other                                 : N/A
+        Channel Repair Pending                         : No
+        TPC Repair Pending                             : No
+        Unrepairable Memory                            : N/A
+    Retired Pages
+        Single Bit ECC                                 : N/A
+        Double Bit ECC                                 : N/A
+        Pending Page Blacklist                         : N/A
+    Remapped Rows
+        Correctable Error                              : 0
+        Inactive Correctable Error                     : 0
+        Uncorrectable Error                            : 0
+        Inactive Uncorrectable Error                   : 0
+        Pending                                        : No
+        Remapping Failure Occurred                     : No
+        Bank Remap Availability Histogram
+            Max                                        : 512 bank(s)
+            High                                       : 0 bank(s)
+            Partial                                    : 0 bank(s)
+            Low                                        : 0 bank(s)
+            None                                       : 0 bank(s)
+    Temperature
+        GPU Current Temp                               : 29 C
+        GPU T.Limit Temp                               : 64 C
+        GPU Shutdown T.Limit Temp                      : -5 C
+        GPU Slowdown T.Limit Temp                      : -2 C
+        GPU Max Operating T.Limit Temp                 : 0 C
+        GPU Target Temperature                         : N/A
+        Memory Current Temp                            : N/A
+        Memory Max Operating T.Limit Temp              : N/A
+    GPU Power Readings
+        Average Power Draw                             : 17.72 W
+        Instantaneous Power Draw                       : 20.30 W
+        Current Power Limit                            : 575.00 W
+        Requested Power Limit                          : 575.00 W
+        Default Power Limit                            : 600.00 W
+        Min Power Limit                                : 150.00 W
+        Max Power Limit                                : 600.00 W
+    GPU Memory Power Readings 
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+    Module Power Readings
+        Average Power Draw                             : N/A
+        Instantaneous Power Draw                       : N/A
+        Current Power Limit                            : N/A
+        Requested Power Limit                          : N/A
+        Default Power Limit                            : N/A
+        Min Power Limit                                : N/A
+        Max Power Limit                                : N/A
+    Power Smoothing                                    : N/A
+    Workload Power Profiles
+        Requested Profiles                             : N/A
+        Enforced Profiles                              : N/A
+    Clocks
+        Graphics                                       : 1177 MHz
+        SM                                             : 1177 MHz
+        Memory                                         : 405 MHz
+        Video                                          : 600 MHz
+    Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Default Applications Clocks
+        Graphics                                       : 2617 MHz
+        Memory                                         : 14001 MHz
+    Deferred Clocks
+        Memory                                         : N/A
+    Max Clocks
+        Graphics                                       : 4087 MHz
+        SM                                             : 4087 MHz
+        Memory                                         : 15501 MHz
+        Video                                          : 3090 MHz
+    Max Customer Boost Clocks
+        Graphics                                       : N/A
+    Clock Policy
+        Auto Boost                                     : N/A
+        Auto Boost Default                             : N/A
+    Fabric
+        State                                          : N/A
+        Status                                         : N/A
+        CliqueId                                       : N/A
+        ClusterUUID                                    : N/A
+        Health
+            Summary                                    : N/A
+            Bandwidth                                  : N/A
+            Route Recovery in progress                 : N/A
+            Route Unhealthy                            : N/A
+            Access Timeout Recovery                    : N/A
+            Incorrect Configuration                    : N/A
+            Partition Assigned                         : N/A
+    Processes                                          : None
+    Capabilities
+        EGM                                            : disabled
+
+
+### exit=0

environment/gpu-smi.txt

@@ -0,0 +1,36 @@
+### nvidia-smi
+
+Wed Sep  2 20:09:29 2026       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 580.173.02             Driver Version: 580.173.02     CUDA Version: 13.0     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA RTX PRO 6000 Blac...    Off |   00000000:01:00.0 Off |                  Off |
+| 30%   33C    P1             71W /  575W |       2MiB /  97887MiB |      0%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+|   1  NVIDIA RTX PRO 6000 Blac...    Off |   00000000:21:00.0 Off |                  Off |
+| 30%   29C    P8              7W /  575W |       2MiB /  97887MiB |      0%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+|   2  NVIDIA RTX PRO 6000 Blac...    Off |   00000000:41:00.0 Off |                  Off |
+| 30%   30C    P8             15W /  575W |       2MiB /  97887MiB |      0%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+|   3  NVIDIA RTX PRO 6000 Blac...    Off |   00000000:C1:00.0 Off |                  Off |
+| 30%   29C    P8             15W /  575W |       2MiB /  97887MiB |      0%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|  No running processes found                                                             |
++-----------------------------------------------------------------------------------------+
+
+### exit=0

environment/gpu-topology.txt

@@ -0,0 +1,19 @@
+### nvidia-smi topo -m
+
+	GPU0	GPU1	GPU2	GPU3	CPU Affinity	NUMA Affinity	GPU NUMA ID
+GPU0	 X 	NODE	NODE	NODE	0-47	0		N/A
+GPU1	NODE	 X 	NODE	NODE	0-47	0		N/A
+GPU2	NODE	NODE	 X 	NODE	0-47	0		N/A
+GPU3	NODE	NODE	NODE	 X 	0-47	0		N/A
+
+Legend:
+
+  X    = Self
+  SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
+  NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
+  PHB  = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
+  PXB  = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
+  PIX  = Connection traversing at most a single PCIe bridge
+  NV#  = Connection traversing a bonded set of # NVLinks
+
+### exit=0

environment/host-cpu.txt

@@ -0,0 +1,48 @@
+### lscpu
+
+Architecture:                            x86_64
+CPU op-mode(s):                          32-bit, 64-bit
+Address sizes:                           52 bits physical, 57 bits virtual
+Byte Order:                              Little Endian
+CPU(s):                                  48
+On-line CPU(s) list:                     0-47
+Vendor ID:                               AuthenticAMD
+Model name:                              AMD EPYC 9275F 24-Core Processor
+CPU family:                              26
+Model:                                   2
+Thread(s) per core:                      2
+Core(s) per socket:                      24
+Socket(s):                               1
+Stepping:                                1
+Frequency boost:                         enabled
+CPU(s) scaling MHz:                      56%
+CPU max MHz:                             4816.6992
+CPU min MHz:                             1500.0000
+BogoMIPS:                                8200.02
+Flags:                                   fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx_vnni avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid bus_lock_detect movdiri movdir64b overflow_recov succor smca fsrm avx512_vp2intersect flush_l1d debug_swap srso_user_kernel_no
+Virtualization:                          AMD-V
+L1d cache:                               1.1 MiB (24 instances)
+L1i cache:                               768 KiB (24 instances)
+L2 cache:                                24 MiB (24 instances)
+L3 cache:                                256 MiB (8 instances)
+NUMA node(s):                            1
+NUMA node0 CPU(s):                       0-47
+Vulnerability Gather data sampling:      Not affected
+Vulnerability Indirect target selection: Not affected
+Vulnerability Itlb multihit:             Not affected
+Vulnerability L1tf:                      Not affected
+Vulnerability Mds:                       Not affected
+Vulnerability Meltdown:                  Not affected
+Vulnerability Mmio stale data:           Not affected
+Vulnerability Reg file data sampling:    Not affected
+Vulnerability Retbleed:                  Not affected
+Vulnerability Spec rstack overflow:      Not affected
+Vulnerability Spec store bypass:         Mitigation; Speculative Store Bypass disabled via prctl
+Vulnerability Spectre v1:                Mitigation; usercopy/swapgs barriers and __user pointer sanitization
+Vulnerability Spectre v2:                Mitigation; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected
+Vulnerability Srbds:                     Not affected
+Vulnerability Tsa:                       Not affected
+Vulnerability Tsx async abort:           Not affected
+Vulnerability Vmscape:                   Not affected
+
+### exit=0