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mradermacher /

L3.1-MOE-4X8B-Dark-Reasoning-Dark-Planet-Hermes-R1-Uncensored-e32-25B-i1-GGUF

HF 源站

mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Dark-Planet-Hermes-R1-Uncensored-e32-25B-i1-GGUF is an uncensored open-source model hosted on Hugging Face.

GGUFEnglishLicense: apache-2.025Btransformerscreativecreative writingfiction writingplot generationsub-plot generationstory generationllama 3.1llama-3llama3llama-3.1scene continuestorytellingfiction storyscience fictionromanceall genresstorywritingvivid prosingvivid writingfictionroleplayingfloat32swearingrole playsillytavernbackyardhorrorcontext 128kmergekitmergemoemixture of expertsnot-for-all-audiencesimatrixconversational
README.md说明 / 使用方法

base_model: DavidAU/L3.1-MOE-4X8B-Dark-Reasoning-Dark-Planet-Hermes-R1-Uncensored-e32-25B language:

  • en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • fiction writing
  • story generation
  • llama 3.1
  • llama-3
  • llama3
  • llama-3.1
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction
  • roleplaying
  • float32
  • swearing
  • role play
  • sillytavern
  • backyard
  • horror
  • llama 3.1
  • context 128k
  • mergekit
  • merge
  • moe
  • mixture of experts
  • not-for-all-audiences

About

weighted/imatrix quants of https://huggingface.co/DavidAU/L3.1-MOE-4X8B-Dark-Reasoning-Dark-Planet-Hermes-R1-Uncensored-e32-25B

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

static quants are available at https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Dark-Planet-Hermes-R1-Uncensored-e32-25B-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_S5.5for the desperate
GGUFi1-IQ1_M6.0mostly desperate
GGUFi1-IQ2_XXS6.9
GGUFi1-IQ2_XS7.6
GGUFi1-IQ2_S7.8
GGUFi1-IQ2_M8.5
GGUFi1-Q2_K_S8.8very low quality
GGUFi1-Q2_K9.4IQ3_XXS probably better
GGUFi1-IQ3_XXS9.9lower quality
GGUFi1-IQ3_XS10.5
GGUFi1-Q3_K_S11.0IQ3_XS probably better
GGUFi1-IQ3_S11.1beats Q3_K*
GGUFi1-IQ3_M11.2
GGUFi1-Q3_K_M12.2IQ3_S probably better
GGUFi1-Q3_K_L13.1IQ3_M probably better
GGUFi1-IQ4_XS13.5
GGUFi1-Q4_014.3fast, low quality
GGUFi1-Q4_K_S14.4optimal size/speed/quality
GGUFi1-Q4_K_M15.3fast, recommended
GGUFi1-Q4_115.8
GGUFi1-Q5_K_S17.3
GGUFi1-Q5_K_M17.8
GGUFi1-Q6_K20.6practically 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
2025/07/11
最新创建
2025/04/02
HF 趋势
未知
数据快照
2026/09/16
版本
未知
许可证
apache-2.0