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- README.md +70 -0
- bahamut_lora_report.json +1127 -0
- config.json +71 -0
- generation_config.json +9 -0
- model-00001-of-00048.safetensors +3 -0
- model-00002-of-00048.safetensors +3 -0
- model-00003-of-00048.safetensors +3 -0
- model-00004-of-00048.safetensors +3 -0
- model-00005-of-00048.safetensors +3 -0
- model-00006-of-00048.safetensors +3 -0
- model-00007-of-00048.safetensors +3 -0
- model-00008-of-00048.safetensors +3 -0
- model-00009-of-00048.safetensors +3 -0
- model-00010-of-00048.safetensors +3 -0
- model-00011-of-00048.safetensors +3 -0
- model-00012-of-00048.safetensors +3 -0
- model-00013-of-00048.safetensors +3 -0
- model-00014-of-00048.safetensors +3 -0
- model-00015-of-00048.safetensors +3 -0
- model-00016-of-00048.safetensors +3 -0
- model-00017-of-00048.safetensors +3 -0
- model-00018-of-00048.safetensors +3 -0
- model-00019-of-00048.safetensors +3 -0
- model-00020-of-00048.safetensors +3 -0
- model-00021-of-00048.safetensors +3 -0
- model-00022-of-00048.safetensors +3 -0
- model-00023-of-00048.safetensors +3 -0
- model-00024-of-00048.safetensors +3 -0
- model-00025-of-00048.safetensors +3 -0
- model-00026-of-00048.safetensors +3 -0
- model-00027-of-00048.safetensors +3 -0
- model-00028-of-00048.safetensors +3 -0
- model-00029-of-00048.safetensors +3 -0
- model-00030-of-00048.safetensors +3 -0
- model-00031-of-00048.safetensors +3 -0
- model-00032-of-00048.safetensors +3 -0
- model-00033-of-00048.safetensors +3 -0
- model-00034-of-00048.safetensors +3 -0
- model-00035-of-00048.safetensors +3 -0
- model-00036-of-00048.safetensors +3 -0
- model-00037-of-00048.safetensors +3 -0
- model-00038-of-00048.safetensors +3 -0
- model-00039-of-00048.safetensors +3 -0
- model-00040-of-00048.safetensors +3 -0
- model-00041-of-00048.safetensors +3 -0
- model-00042-of-00048.safetensors +3 -0
- model-00043-of-00048.safetensors +3 -0
- model-00044-of-00048.safetensors +3 -0
- model-00045-of-00048.safetensors +3 -0
- model-00046-of-00048.safetensors +3 -0
README.md
ADDED
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---
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license: mit
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base_model:
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- deepseek-ai/DeepSeek-V4-Flash-0731
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tags:
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- deepseek
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- deepseek-v4
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- abliterated
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- uncensored
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- heretic
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- fp8
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---
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# DeepSeek-V4-Flash-0731-BahamutRU-t265-abliterated
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`deepseek-ai/DeepSeek-V4-Flash-0731` with the refusal direction ablated, using the rank-1
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| 17 |
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adapter from
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[`BahamutRU/DeepSeek-V4-Flash-0731-heretic-abliterated-v2-GGUF-lora`](https://huggingface.co/BahamutRU/DeepSeek-V4-Flash-0731-heretic-abliterated-v2-GGUF-lora)
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baked directly into the FP8 weights.
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**There is no LoRA at runtime.** The edit is merged into the tensors; load it like any other
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checkpoint.
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## What was changed
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57 target tensors (114 counting block scales):
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* `layers.{11..42}.attn.wo_b` — attention output projections
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* `layers.{18..42}.ffn.shared_experts.w2` — shared-expert down-projections
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Everything else — all 72,203 other indexed tensors, including every routed expert —
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is byte-identical to the official DeepSeek release. The 48 original shards are unmodified;
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the edited tensors live in a single overlay file that the index redirects to.
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## Method
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Directional ablation is inherently rank-1: `W <- W - lam * r (r^T W)` is an outer product, so
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the GGUF adapter is the edit in closed form. Verified against the base weights before
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applying — `cos(lora_a, r^T W)` is -0.995 / -0.999 / -0.943 at layers 30 / 20 / 42, with
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implied lambda 4.81 / 2.67 / 2.39. All 32 attention layers share one direction
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(min |cos| 0.994), matching the adapter's declared global direction scope.
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The delta is applied verbatim rather than re-derived as a projection, since the cosine is
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near but not exactly -1 — reproducing what the adapter author measured rather than an
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approximation of it.
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Dequantise FP8 e4m3 (ue8m0 128x128 block scales) -> add `lora_b (x) lora_a` -> requantise,
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raising a block's exponent where the larger delta would otherwise clip. Zero elements were
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clamped; peak overshoot 1.095x.
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Lambda ranges 0.72–4.88 across layers, peaking at layer 31. Above 2.0 the refusal component
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is inverted rather than merely removed.
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## Not included
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The adapter also ablates routed-expert down-projections (256 experts x 31 layers). Those are
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FP4 and were left untouched here, so this is a partial application of `t265`.
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## Credit
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* Base model: [`deepseek-ai/DeepSeek-V4-Flash-0731`](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731) (MIT)
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* Adapter: [`BahamutRU/DeepSeek-V4-Flash-0731-heretic-abliterated-v2-GGUF-lora`](https://huggingface.co/BahamutRU/DeepSeek-V4-Flash-0731-heretic-abliterated-v2-GGUF-lora) (MIT),
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| 63 |
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produced with heretic-gguf; reported 12 refusals on 140 harmful prompts at
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KL 0.065 on harmless prompts
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* Ablation method: Heretic, by Philipp Emanuel Weidmann
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## Warning
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Refusal behaviour has been deliberately removed. This model will attempt whatever it is
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asked. Safety judgement is entirely the operator's responsibility.
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bahamut_lora_report.json
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|
| 1 |
+
{
|
| 2 |
+
"source_lora": "/tmp/claude-1000/-home-shaakz-spark-vllm-docker/61ff45c0-8219-4a7f-8e77-3a157b4e0796/scratchpad/lora/ds4-flash-heretic-f4-t265-lora.gguf",
|
| 3 |
+
"adapter_metadata": {
|
| 4 |
+
"general.architecture": "deepseek4",
|
| 5 |
+
"general.type": "adapter",
|
| 6 |
+
"adapter.type": "lora",
|
| 7 |
+
"adapter.lora.alpha": 1.0,
|
| 8 |
+
"adapter.heretic.study_name": "followup4",
|
| 9 |
+
"adapter.heretic.trial_number": 265.0,
|
| 10 |
+
"adapter.heretic.trial_index": 266.0,
|
| 11 |
+
"adapter.heretic.direction_scope": "global",
|
| 12 |
+
"adapter.heretic.direction_index": 20.5830999729783,
|
| 13 |
+
"adapter.heretic.row_normalization": "pre",
|
| 14 |
+
"adapter.heretic.expert_mode": "routing",
|
| 15 |
+
"adapter.heretic.components": "attn.o_proj,mlp.down_proj,mlp.down_proj.shared",
|
| 16 |
+
"adapter.heretic.seed": 46.0,
|
| 17 |
+
"adapter.heretic.llama_cpp_commit": "c5a4a0bb832fcdb44487996150b3141490fdff69",
|
| 18 |
+
"adapter.heretic.heretic_gguf_commit": "ec383b79288b30076043352418a757660353f462",
|
| 19 |
+
"adapter.heretic.score.keyword_rate": 0.08571428571428572,
|
| 20 |
+
"adapter.heretic.score.kl_divergence": 0.065054476087532,
|
| 21 |
+
"adapter.heretic.param.direction_index": 20.5830999729783,
|
| 22 |
+
"adapter.heretic.param.attn.o_proj.max_weight": 4.9612056333275385,
|
| 23 |
+
"adapter.heretic.param.attn.o_proj.max_weight_position": 30.620748194589943,
|
| 24 |
+
"adapter.heretic.param.attn.o_proj.min_weight": 0.1370855237172443,
|
| 25 |
+
"adapter.heretic.param.attn.o_proj.min_weight_distance": 19.83092882362658,
|
| 26 |
+
"adapter.heretic.param.mlp.down_proj.max_weight": 0.5468963693418676,
|
| 27 |
+
"adapter.heretic.param.mlp.down_proj.max_weight_position": 28.323665138976576,
|
| 28 |
+
"adapter.heretic.param.mlp.down_proj.min_weight": 0.6153807383029815,
|
| 29 |
+
"adapter.heretic.param.mlp.down_proj.min_weight_distance": 16.72124692757414,
|
| 30 |
+
"adapter.heretic.param.mlp.down_proj.shared.max_weight": 1.46427906043093,
|
| 31 |
+
"adapter.heretic.param.mlp.down_proj.shared.max_weight_position": 33.110047960113455,
|
| 32 |
+
"adapter.heretic.param.mlp.down_proj.shared.min_weight": 0.4630487032209349,
|
| 33 |
+
"adapter.heretic.param.mlp.down_proj.shared.min_weight_distance": 15.96458629664681
|
| 34 |
+
},
|
| 35 |
+
"overflow_policy": "bump",
|
| 36 |
+
"targets_edited": 57,
|
| 37 |
+
"tensors_edited": 114,
|
| 38 |
+
"tensors_total": 72317,
|
| 39 |
+
"routed_experts_skipped": 31,
|
| 40 |
+
"overlay_bytes": 1283547800,
|
| 41 |
+
"overlay_sha256": "eec6e22df119894f61ac6160b8d31baa2c160762bde14b208f3145f90e0ebe43",
|
| 42 |
+
"per_tensor": {
|
| 43 |
+
"layers.11.attn.wo_b": {
|
| 44 |
+
"bytes_changed": 6982746,
|
| 45 |
+
"bytes_total": 33554432,
|
| 46 |
+
"frac_changed": 0.2081020474433899,
|
| 47 |
+
"edit_frobenius": 1.6163755609591064,
|
| 48 |
+
"requant_noise_frobenius": 1.2469109658619615,
|
| 49 |
+
"noise_to_signal": 0.7714240402905398,
|
| 50 |
+
"rel_edit_size": 0.011494108418509737,
|
| 51 |
+
"blocks_total": 2048,
|
| 52 |
+
"blocks_overflowed": 180,
|
| 53 |
+
"blocks_exponent_bumped": 180,
|
| 54 |
+
"elements_clamped": 0,
|
| 55 |
+
"max_overshoot_ratio": 1.0130713411739893,
|
| 56 |
+
"bytes_sign_normalized": 1,
|
| 57 |
+
"direction_signed_gain": 0.5936989599920331,
|
| 58 |
+
"implied_lambda": 0.724756601547405,
|
| 59 |
+
"elements_total": 33554432,
|
| 60 |
+
"cos_to_first_direction": 1.0000000000000009
|
| 61 |
+
},
|
| 62 |
+
"layers.12.attn.wo_b": {
|
| 63 |
+
"bytes_changed": 7765544,
|
| 64 |
+
"bytes_total": 33554432,
|
| 65 |
+
"frac_changed": 0.231431245803833,
|
| 66 |
+
"edit_frobenius": 2.3270999961065155,
|
| 67 |
+
"requant_noise_frobenius": 1.596174109532731,
|
| 68 |
+
"noise_to_signal": 0.6859069709953587,
|
| 69 |
+
"rel_edit_size": 0.016811390805902913,
|
| 70 |
+
"blocks_total": 2048,
|
| 71 |
+
"blocks_overflowed": 118,
|
| 72 |
+
"blocks_exponent_bumped": 118,
|
| 73 |
+
"elements_clamped": 0,
|
| 74 |
+
"max_overshoot_ratio": 1.0161055667059762,
|
| 75 |
+
"bytes_sign_normalized": 1,
|
| 76 |
+
"direction_signed_gain": 0.3406463799527072,
|
| 77 |
+
"implied_lambda": 0.9417943162503716,
|
| 78 |
+
"elements_total": 33554432,
|
| 79 |
+
"cos_to_first_direction": 0.9998341836443077
|
| 80 |
+
},
|
| 81 |
+
"layers.13.attn.wo_b": {
|
| 82 |
+
"bytes_changed": 9016661,
|
| 83 |
+
"bytes_total": 33554432,
|
| 84 |
+
"frac_changed": 0.2687174379825592,
|
| 85 |
+
"edit_frobenius": 2.754973578613904,
|
| 86 |
+
"requant_noise_frobenius": 1.7703267932866071,
|
| 87 |
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"noise_to_signal": 0.6425930205026876,
|
| 88 |
+
"rel_edit_size": 0.0199190797880549,
|
| 89 |
+
"blocks_total": 2048,
|
| 90 |
+
"blocks_overflowed": 147,
|
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config.json
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|
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