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huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF

huihui-ai Kimi GGUF multimodal
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Response includes
  • classification m8
  • files 3
  • author_summary 183 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation 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.
  • author=huihui-ai + is_gguf=1
  • M3 (huihui abliteration) wrapped in M8 (GGUF quantization)
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
Downloads · 30-day
576
Likes
17
Model age
3mo ago
created 2026-07-06
Downloads over time
Now2.2K→from0↑0%
08151.6K2.4K0 on Jul 62.2K on Sep 6JulAugSep
Jul 6 → Sep 6 · 20 snapshots · spans 62 days

Genealogy 0 direct forks

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Metadata

License
other
Tags
transformers gguf unsloth compressed-tensors abliterated uncensored GGUF MXFP4 huihui image-text-to-text base_model:moonshotai/Kimi-K2.7-Code base_model:quantized:moonshotai/Kimi-K2.7-Code

Related

Total size
0 B
Files
3
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-07-07 11:45

Files by quantization

BF16 1 file 910 MB
mmproj-BF16.gguf 910 MB bd3e97de download
Auxiliary files 2 files 7.93 KB
README.md 4.88 KB fc973112 download
.gitattributes 3.05 KB 9f92b1f9 download

README current version from Hugging Face


license: other
license_name: modified-mit
library_name: transformers
pipeline_tag: image-text-to-text
base_model:

  • moonshotai/Kimi-K2.7-Code
    tags:
  • unsloth
  • compressed-tensors
  • abliterated
  • uncensored
  • GGUF
  • MXFP4
  • huihui

extra_gated_prompt: >-
Usage Warnings

“**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

“**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

“**Legal and Ethical Responsibilities**“: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

“**Research and Experimental Use**“: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

“**Monitoring and Review Recommendations**“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

“**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF

This is an uncensored version of moonshotai/Kimi-K2.7-Code created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Note We will directly perform ablation on the GGUF files from unsloth/Kimi-K2.7-Code-GGUF. Some weights quantized in Q5_K and Q6_K will be converted to MXFP4. This time, the weights of layers <16 and >36 and all expert modules were not ablated.

Download and merge

Use the llama.cpp split program to merge model (llama-gguf-split needs to be compiled.),

huggingface-cli download huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF --local-dir ./huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF --token xxx


llama-gguf-split --merge huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF/UD-IQ1_M-MXFP4/Kimi-K2.7-Code-UD-IQ1_M-00001-of-00008.gguf huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF/Kimi-K2.7-Code-UD-IQ1_M.gguf

llama.cpp

Use the latest llama.cpp,

llama-cli -m huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF/UD-IQ1_M-MXFP4/Kimi-K2.7-Code-UD-IQ1_M-00001-of-00008.gguf -c 262144 --chat-template-kwargs "{\"enable_thinking\":true, \"preserve_thinking\":true}" --reasoning-format deepseek --temp 1.0

Usage Warnings

  • Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

  • Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

  • Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

  • Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

  • Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

  • No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

Donation

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README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-07-06Create README.mda7b83324.9 KB
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