base_model: moonshotai/Kimi-K2.6 library_name: gguf pipeline_tag: text-generation license: other license_name: modified-mit tags:

• gguf
• kimi
• kimi-k2
• kimi-k2.6
• kimi_k25
• moe
• mixture-of-experts
• multimodal
• vlm
• abliterated
• uncensored
• heretic
• llama-cpp quantized_by: Youssofal

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Kimi-K2.6-Abliterated-Heretic-GGUF

This is a GGUF release of an abliterated version of Moonshot AI's Kimi-K2.6.

By applying Heretic on the Kimi-K2.6 text stack, the original refusal behavior is removed at the weight level while preserving the model's multimodal architecture.

Quick Benchmarks

Methodology & Model Notes

Kimi-K2.6 is a sparse-MoE vision-language model exposed through the KimiK25ForConditionalGeneration wrapper, with a DeepSeek V3-style text stack and a separate vision path.

This release is produced with a text-side Heretic intervention only. The vision encoder and multimodal projector are preserved.

Quant Benchmarks

Files

• Kimi-K2.6-Abliterated-Heretic-BF16/: BF16 GGUF source
• Kimi-K2.6-Abliterated-Heretic-Q8_0/: highest-fidelity quant
• Kimi-K2.6-Abliterated-Heretic-Q6_K/: near-lossless practical quant
• Kimi-K2.6-Abliterated-Heretic-Q4_K_M/: smaller general-use quant
• Kimi-K2.6-Abliterated-Heretic-Q2_K/: lowest standard quant in this ladder
• mmproj-Kimi-K2.6-Abliterated-Heretic.gguf: matching multimodal projector file for llama.cpp vision use

Running

llama-server \
  -m <quant-file.gguf> \
  --mmproj <mmproj-file.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: moonshotai/Kimi-K2.6
• Refusal removal pipeline: Heretic
• GGUF runtime and quantization: llama.cpp

License

This release inherits the base Kimi-K2.6 license.

Modified MIT License.