Add files using upload-large-folder tool

EXL3_MANIFEST.json

@@ -0,0 +1,1152 @@
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PROVENANCE.md

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+# Provenance
+
+MIT TR3 upstream commit: `f79c9167690ca705e877ae4dc55a841d1aae1247`.
+MIT TR3 core SHA-256: `e9a85a47e165c8d8644354cef611efbb81dfd9ba88544ca59f0c80ee6bc75032`.
+Tier selection manifest SHA-256: `58240b2d7d71feae843e8d7c6a135f02e33b130bfd062e5d5024a699196ca2e8`.
+Tier selection audit SHA-256: `daf1d1993d207be215b291c2a3be0be93b8faab8fb17a8ca5fd224fb68878537`.
+Tail encoded status SHA-256: `73336df2eb9ac226fcd346372b9eaa64f7d8cfd6b2e1029da1d79c0e609bc90f`.
+Tail source independent audit SHA-256: `65e44fc8b022b378d0df57d5eba20c91436b7d24a433a2c101607778983a5283`.
+K3 source independent audit SHA-256: `None`.
+K4 encoded status SHA-256: `None`.
+K4 independent audit SHA-256: `None`.

PUBLIC_SOURCE_PROVENANCE.json

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+{
+  "files": [
+    {
+      "path": "glm53_exl3_tp4.py",
+      "public_sha256": "297e5858d9dd54a5859cbb4a1d01dbc7bc8f6dca019d8866188e730e4b94a58e",
+      "source_sha256": "297e5858d9dd54a5859cbb4a1d01dbc7bc8f6dca019d8866188e730e4b94a58e"
+    }
+  ],
+  "sanitization": "portable path and private IPv4 substitutions only",
+  "schema": "glm53-public-runtime-source-provenance-v1",
+  "state": "PASS"
+}

README.md

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+---
+license: mit
+base_model: zai-org/GLM-5.3-Flash-BF16
+base_model_relation: quantized
+pipeline_tag: image-text-to-text
+tags:
+  - exl3
+  - mixture-of-experts
+  - dgx-spark
+  - multimodal
+---
+
+# GLM-5.3-Flash EXL3 TR3 2.0bpw
+
+This is a selectively compressed GLM-5.3-Flash checkpoint validated on one
+NVIDIA DGX Spark. It serves text, structured tool calls, images, native video,
+and a 200k-token request from one GB10 GPU with CUDA graphs enabled.
+
+The routed experts use the EXL3 K2 tier. The `2.0bpw` name describes that
+routed-expert tier; it is not the storage rate of every tensor. Routing,
+attention, embeddings, vision, and other retained components are preserved in
+their recorded formats.
+
+## Artifact
+
+| Property | Value |
+|---|---:|
+| Base model | `zai-org/GLM-5.3-Flash-BF16` |
+| Base revision | `a6c167b62691b2bac901344b65cb651a70f53e43` |
+| Weight files | 133 root-level safetensors shards |
+| Weight bytes | 111,352,026,456 |
+| Indexed tensors | 583,090 |
+| Routed-expert tier | EXL3 K2, 2.0 bpw |
+| Structural manifest SHA-256 | `501641b947fa56afc9ed098bdc034e59c2bd229d4fa1a1d7b80e3727f10c8ba3` |
+
+The checkpoint includes an unused MTP companion layer (889 tensors,
+14,865,185,408 bytes). The accepted baseline does not load that layer. It is
+retained for provenance and future runtime work; enabling it requires a new
+memory and acceptance run.
+
+## Measured one-Spark baseline
+
+Tested on one DGX Spark / one GB10 GPU with the custom vLLM EXL3 loader, TP1,
+FP8 target KV cache, 204,800 configured context, prefix caching disabled, and
+full-decode CUDA graphs.
+
+| Gate | Result |
+|---|---|
+| Live model load | 89.89 GiB |
+| Live KV capacity | 1,638,400 tokens on the final running instance (8.00x configured context) |
+| Text identity | Exact final content and natural stop passed |
+| Structured tools | Parsed function name and JSON arguments passed |
+| Images | 4/4 paired synthetic fixtures passed exact JSON checks |
+| Native video | 2/2 paired synthetic fixtures passed exact JSON checks |
+| 200k context | 200,012 server-reported prompt tokens; exact 4/4 retrieval at 5%, 35%, 65%, and 95%; natural stop |
+| Multilingual smoke | Arabic, Chinese, and Polish constraint-following prompts passed |
+
+The 200k retrieval took 498.40 seconds end to end, including 474.04 seconds to
+the first streamed token. Its client-side decode estimate was 9.28 tokens/s.
+No prefix-cache hit was used.
+
+Bounded exact-answer speed cells measured:
+
+| Input text tokens | Incoming concurrency | Wall time | Client decode estimate |
+|---:|---:|---:|---:|
+| 1,024 | 1 | 14.88 s | 9.16 tok/s |
+| 32,768 | 1 | 84.45 s | 9.47 tok/s |
+| 131,072 | 1 | 306.10 s | 9.28 tok/s |
+| 1,024 | 2 | 29.84 s total | 9.34 tok/s mean |
+
+These are client estimates from usage counts and stream timing, not isolated
+kernel timings. The server was intentionally configured for one active
+sequence, so two incoming requests queued rather than decoding concurrently.
+
+## Important limitations
+
+- The requested 25–50 tok/s decode target was **not met**. The accepted
+  baseline is consistently about 9.3 tok/s.
+- One simple Python task spent the full 600-second wall deadline generating
+  reasoning and returned no final content. This is retained as a failed
+  responsiveness/code-quality probe.
+- Exact held-out KLD against the BF16 base has not been measured for this exact
+  2.0-bpw artifact. Historical results from other prunes are not claimed here.
+- The visual checks are small controlled fixtures, not a broad vision-quality
+  benchmark.
+- DFlash2 acceleration was investigated but is not part of this release. In
+  the tested vLLM build, draft metadata inherited the target MLA KV format and
+  failed initialization. Context was not reduced and eager mode was not used
+  as a workaround.
+
+## Runtime
+
+This checkpoint needs the accompanying rank-stacked EXL3 runtime. Stock vLLM
+does not understand this artifact layout. Use the pinned ARM64 container and
+launch recipe from the public reproduction repository linked in this model's
+repository metadata. Mount weights read-only. CUDA graphs are required.
+
+## Method and attribution
+
+- Z.AI: GLM-5.3-Flash base model and tokenizer.
+- TurboDerp / ExLlamaV3: EXL3 format and encoder lineage.
+- Brandon M. Music: MIT-licensed GLM-5.2 EXL3/TR3 predecessor and
+  reproducibility methods. The permitted reference revision is
+  `f79c9167690ca705e877ae4dc55a841d1aae1247`; later GLM-5.3 artifacts were not
+  used.
+- MiaAI Lab: GLM-5.3-Flash DGX Spark runtime lineage.
+- Cerebras Research: REAP observation and expert-selection lineage.
+
+Private prompts, credentials, hostnames, addresses, and fleet logs are not
+included in this repository.

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generation_config.json

@@ -0,0 +1,12 @@
+{
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+  "eos_token_id": [
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+  "temperature": 1.0,
+  "top_p": 0.95,
+  "transformers_version": "5.16.0"
+}