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mradermacher /

UNCENSORED-HarmfulProject-3.2-1B-i1-GGUF

HF 源站

mradermacher/UNCENSORED-HarmfulProject-3.2-1B-i1-GGUF is an uncensored open-source model hosted on Hugging Face.

GGUFEnglish1Btransformersllama3.2llamamergekitmergellama-cppnsfwuncensoredabliterated4-bitnot-for-all-audiencesesdataset:mlabonne/FineTome-100kdataset:microsoft/orca-math-word-problems-200kdataset:m-a-p/CodeFeedback-Filtered-Instructiondataset:cognitivecomputations/dolphin-coderdataset:PawanKrd/math-gpt-4o-200kdataset:V3N0M/Jenna-50K-Alpaca-Uncensoreddataset:FreedomIntelligence/medical-o1-reasoning-SFTimatrixconversational
README.md说明 / 使用方法

base_model: Novaciano/HarmfulProject-3.2-1B datasets:

  • mlabonne/FineTome-100k
  • microsoft/orca-math-word-problems-200k
  • m-a-p/CodeFeedback-Filtered-Instruction
  • cognitivecomputations/dolphin-coder
  • PawanKrd/math-gpt-4o-200k
  • V3N0M/Jenna-50K-Alpaca-Uncensored
  • FreedomIntelligence/medical-o1-reasoning-SFT language:
  • es
  • en library_name: transformers quantized_by: mradermacher tags:
  • llama3.2
  • llama
  • mergekit
  • merge
  • llama-cpp
  • nsfw
  • uncensored
  • abliterated
  • 1b
  • 4-bit
  • not-for-all-audiences

About

weighted/imatrix quants of https://huggingface.co/Novaciano/HarmfulProject-3.2-1B

static quants are available at https://huggingface.co/mradermacher/UNCENSORED-HarmfulProject-3.2-1B-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
GGUFi1-IQ1_S0.6for the desperate
GGUFi1-IQ1_M0.6mostly desperate
GGUFi1-IQ2_XXS0.6
GGUFi1-IQ2_XS0.7
GGUFi1-IQ2_S0.7
GGUFi1-IQ2_M0.7
GGUFi1-Q2_K_S0.7very low quality
GGUFi1-Q2_K0.8IQ3_XXS probably better
GGUFi1-IQ3_XXS0.8lower quality
GGUFi1-IQ3_XS0.8
GGUFi1-Q3_K_S0.9IQ3_XS probably better
GGUFi1-IQ3_S0.9beats Q3_K*
GGUFi1-IQ3_M0.9
GGUFi1-Q3_K_M0.9IQ3_S probably better
GGUFi1-Q3_K_L0.9IQ3_M probably better
GGUFi1-IQ4_XS1.0
GGUFi1-IQ4_NL1.0prefer IQ4_XS
GGUFi1-Q4_01.0fast, low quality
GGUFi1-Q4_K_S1.0optimal size/speed/quality
GGUFi1-Q4_K_M1.1fast, recommended
GGUFi1-Q4_11.1
GGUFi1-Q5_K_S1.2
GGUFi1-Q5_K_M1.2
GGUFi1-Q6_K1.3practically like static Q6_K

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
2025/03/09
最新创建
2025/03/08
HF 趋势
未知
数据快照
2026/09/16
版本
未知
许可证
unknown