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Starrbutterly/Kimi-K2.6-Abliterated-Heretic-GGUF

Starrbutterly GGUF MoE multimodal
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Response includes
  • classification m3
  • files 2
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
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Model age
today
created 2026-09-25

Genealogy 0 direct forks

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Metadata

License
other
Tags
gguf kimi kimi-k2 kimi-k2.6 kimi_k25 moe mixture-of-experts multimodal vlm abliterated uncensored heretic

Related

Total size
0 B
Files
2
Quantizations
1
Registered
2026-09-25 18:57
Last updated on HF
2026-09-25 18:29

Files by quantization

Auxiliary files 2 files 4.39 KB
README.md 2.91 KB 753370e4 download
.gitattributes 1.48 KB a6344aac download

README current version from Hugging Face


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

🚨 UPLOADS IN PROGRESS 🚨

Some files and metadata in this repository are still being uploaded and verified.

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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