operationrange/MiniMax-M3.1-Flash-abliterated-GGUF
AI model by operationrange
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Refusal-direction ablation ("abliteration") of MiniMax-M3.1-Flash, done directly on the unsloth/MiniMax-M3.1-Flash-GGUF UD-Q8KXL quant. No fine-tuning: only an orthogonal projection of the residual-stream writer weights. Vision: the vision tower is not modified — the mmproj-.gguf from unsloth/MiniMax-M3.1-Flash-GGUF can be used as-is. Requires a llama.cpp build with MiniMax-M3.1 support (PR #31192 at the time of writing). With many parallel slots (-np 16) we also had to raise the graph node budget for LLMARCHMINIMAXM3 in src/llama-context.cpp (graphmaxnodes): Tested on 4× RTX PRO 6000 (96 GB). Total VRAM for weights ≈ 272 GB. 256 harmful (mlabonne/harmfulbehaviors) and 256 harmless (mlabonne/harmlessalpaca) prompts. the harmless mean removed ("projected" direction), normalized. ffndownexps (all 128 experts) — weights were replaced by W − α·r rᵀ W with α = 1.5. Other layers, the embeddings and the output head are untouched. back to NVFP4 snaps them to the original grid and erases the edit, so edited ffndownexps of layers 16–42…
Read the full model card ↗ · Preview checked 2026-11-03T08:23:21.914Z
Inside the original model card — Document outline
- MiniMax-M3.1-Flash — abliterated (GGUF, UD-Q8KXL base)
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- Running
- Method
- Evaluation of the released model
- DSpark speculative decoding
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Model overview
operationrange/MiniMax-M3.1-Flash-abliterated-GGUF is a task-unspecified model repository published by operationrange on Hugging Face. A library was not reported.
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- Created
- 2026-11-03T06:26:11.000Z
- Last modified
- 2026-11-03T06:27:01.000Z
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