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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

Check Original Kimi-K2.6 Abliterated Heretic
Official 25-prompt refusal check Pending Pending
Archived Heretic KL divergence Pending Pending

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

Quant Official 25-prompt refusal check Perplexity KL divergence
Q8_0 Pending Pending Pending
Q6_K Pending Pending Pending
Q4_K_M Pending Pending Pending
Q2_K Pending Pending Pending

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

Spec Value
Architecture Wrapper KimiK25ForConditionalGeneration
Text Family DeepSeek V3-style sparse MoE
Text Layers 61
Hidden Size 7168
Experts 384 routed, 8 active per token
Modality Vision-language
Base Model moonshotai/Kimi-K2.6

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

License

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

Modified MIT License.

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