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mradermacher /

Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-GGUF

HF 源站

mradermacher/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-GGUF is an uncensored open-source model hosted on Hugging Face.

Text GenerationUnsloth DesktopGGUFEnglishLicense: apache-2.035Btransformersreasoningdistillationchain-of-thoughtqwenqwen3.6mixture-of-expertsmoeloraabliterateduncensoredconversational
README.md说明 / 使用方法

base_model: huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated language:

  • en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:
  • text-generation
  • reasoning
  • distillation
  • chain-of-thought
  • qwen
  • qwen3.6
  • mixture-of-experts
  • moe
  • lora
  • unsloth
  • abliterated
  • uncensored

About

static quants of https://huggingface.co/huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

LinkTypeSize/GBNotes
GGUFmmproj-Q8_00.7multi-modal supplement
GGUFmmproj-f161.0multi-modal supplement
GGUFQ2_K13.0
GGUFQ3_K_S15.3
GGUFQ3_K_M16.9lower quality
GGUFQ3_K_L18.2
GGUFIQ4_XS19.0
GGUFQ4_K_S20.0fast, recommended
GGUFQ4_K_M21.3fast, recommended
GGUFQ5_K_S24.1
GGUFQ5_K_M24.8
GGUFQ6_K28.6very good quality
GGUFQ8_037.0fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

HUGGING FACE

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来源与版本

作者
mradermacher
最近更新
2026/04/28
最新创建
2026/04/28
HF 趋势
701
数据快照
2026/10/30
版本
未知
许可证
apache-2.0