base_model: Qwen/Qwen3.6-27B library_name: gguf pipeline_tag: text-generation license: apache-2.0 tags:

• gguf
• qwen
• qwen3.6
• qwen3_5
• dense
• multimodal
• vlm
• vision
• video
• image-text-to-text
• abliterated
• uncensored
• heretic
• mpoa
• llama-cpp
• soma quantized_by: Youssofal

Qwen3.6-27B-Abliterated-Heretic-Uncensored-GGUF

This is a GGUF release of an abliterated, uncensored version of Qwen's Qwen3.6-27B, made with Heretic.

By applying a Heretic-style MPOA pipeline with magnitude preservation on the Qwen3.6-27B dense text stack, the base refusal behavior was removed at the weight level with extremely low distributional divergence (KL 0.0251 vs base on harmless prompts). The text GGUFs are paired with Qwen3.6-27B vision projectors (mmproj) so image/video-capable llama.cpp and LM Studio runtimes can use the multimodal path.

Quick Benchmarks

Methodology & Model Notes

Qwen3.6-27B is a 27.8B dense vision-language model with 64 text layers, hybrid linear/full attention (3 linear-attention + 1 full-attention per 4-layer group), and an integrated image + video vision tower.

This release was produced with a direct Heretic-style MPOA run with magnitude preservation — output-side orthogonalization on self_attn.o_proj, linear_attn.out_proj, and mlp.down_proj, with each weight row/column's L2 norm restored after projection. The ablation direction is interpolated at direction_index = 37.97.

The accepted candidate scored Refusals: 1/25 on the official 25-prompt marker suite used for the MiniMax M2.7 and Qwen3.6-35B-A3B abliterated runs, with a measured KL divergence of 0.0251 against the base on mlabonne/harmless_alpaca test[:25].

The resulting abliterated checkpoint was exported to BF16 and then converted to GGUF for llama.cpp-compatible deployment. The language GGUF files are text-model files; multimodal input is enabled by loading a matching mmproj projector alongside them.

Files

• Qwen3.6-27B-Abliterated-Heretic-Uncensored-BF16-00001-of-00002.gguf + -00002-of-00002.gguf: BF16 GGUF source (split; use with --load-tensors or llama-gguf-split --merge)
• Qwen3.6-27B-Abliterated-Heretic-Uncensored-Q8_0.gguf: highest-fidelity quant
• Qwen3.6-27B-Abliterated-Heretic-Uncensored-Q6_K.gguf: near-lossless practical quant
• Qwen3.6-27B-Abliterated-Heretic-Uncensored-Q5_K_M.gguf: high-fidelity medium quant
• Qwen3.6-27B-Abliterated-Heretic-Uncensored-Q4_K_M.gguf: smaller general-use quant
• Qwen3.6-27B-Abliterated-Heretic-Uncensored-Q3_K_M.gguf: compact quant
• Qwen3.6-27B-Abliterated-Heretic-Uncensored-Q2_K.gguf: smallest-footprint quant
• mmproj-F16.gguf / mmproj-model-f16.gguf: F16 Qwen3.6-27B vision projector for LM Studio and llama.cpp multimodal loading
• mmproj-BF16.gguf / mmproj-model-bf16.gguf: BF16 Qwen3.6-27B vision projector

Running

llama-server \
  -m <quant-file.gguf> \
  -ngl 999 -c 32768 --jinja -fa

For image/video-capable runtimes, load the projector with the text GGUF:

llama-server \
  -m <quant-file.gguf> \
  --mmproj mmproj-model-f16.gguf \
  -ngl 999 -c 32768 --jinja -fa

Model Architecture

Disclaimer

This model has had refusal behavior removed at the weight level. It will answer prompts that the base model would normally refuse. You are responsible for how you use it.

Credits

• Base model: Qwen/Qwen3.6-27B
• Refusal removal pipeline: Heretic
• GGUF runtime and quantization: llama.cpp

License

This release inherits the base Qwen3.6-27B license.

Apache-2.0.