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  1. README.md +70 -0
  2. bahamut_lora_report.json +1127 -0
  3. config.json +71 -0
  4. generation_config.json +9 -0
  5. model-00001-of-00048.safetensors +3 -0
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README.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # DeepSeek-V4-Flash-0731-BahamutRU-t265-abliterated
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+
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+ `deepseek-ai/DeepSeek-V4-Flash-0731` with the refusal direction ablated, using the rank-1
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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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+
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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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+
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+ ## What was changed
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+
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+ 57 target tensors (114 counting block scales):
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+
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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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+
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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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+
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+ ## Method
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+
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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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+
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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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+
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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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+
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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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+
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+ ## Not included
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+
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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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+
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+ ## Credit
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+
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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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+ 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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+
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+ ## Warning
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+
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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.
bahamut_lora_report.json ADDED
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+ {
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+ "source_lora": "/tmp/claude-1000/-home-shaakz-spark-vllm-docker/61ff45c0-8219-4a7f-8e77-3a157b4e0796/scratchpad/lora/ds4-flash-heretic-f4-t265-lora.gguf",
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+ "adapter_metadata": {
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+ "general.architecture": "deepseek4",
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+ "general.type": "adapter",
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+ "adapter.type": "lora",
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+ "adapter.lora.alpha": 1.0,
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+ "adapter.heretic.study_name": "followup4",
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+ "adapter.heretic.trial_number": 265.0,
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+ "adapter.heretic.direction_scope": "global",
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+ "adapter.heretic.direction_index": 20.5830999729783,
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+ "adapter.heretic.row_normalization": "pre",
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+ "adapter.heretic.expert_mode": "routing",
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+ "adapter.heretic.components": "attn.o_proj,mlp.down_proj,mlp.down_proj.shared",
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+ "adapter.heretic.seed": 46.0,
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+ "adapter.heretic.llama_cpp_commit": "c5a4a0bb832fcdb44487996150b3141490fdff69",
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+ "adapter.heretic.heretic_gguf_commit": "ec383b79288b30076043352418a757660353f462",
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+ "adapter.heretic.score.keyword_rate": 0.08571428571428572,
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