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  weighted/imatrix quants of https://huggingface.co/Undi95/MLewd-ReMM-L2-Chat-20B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ exported_from: Undi95/MLewd-ReMM-L2-Chat-20B
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+ language:
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+ - en
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+ library_name: transformers
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+ license: cc-by-nc-4.0
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+ quantized_by: mradermacher
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+ tags:
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+ - not-for-all-audiences
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+ - nsfw
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+ ---
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+ ## About
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+
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  weighted/imatrix quants of https://huggingface.co/Undi95/MLewd-ReMM-L2-Chat-20B
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+
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+
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+ <!-- provided-files -->
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+ static quants are available at https://huggingface.co/mradermacher/MLewd-ReMM-L2-Chat-20B-GGUF
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+ ## Usage
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+
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+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
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+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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+ more details, including on how to concatenate multi-part files.
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+
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+ ## Provided Quants
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+
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+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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+
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+ | Link | Type | Size/GB | Notes |
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+ |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/MLewd-ReMM-L2-Chat-20B-i1-GGUF/resolve/main/MLewd-ReMM-L2-Chat-20B.i1-Q2_K.gguf) | i1-Q2_K | 7.7 | IQ3_XXS probably better |
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+
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+
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+ Here is a handy graph by ikawrakow comparing some lower-quality quant
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+ types (lower is better):
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+
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+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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+
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+ And here are Artefact2's thoughts on the matter:
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+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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+
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+ ## Thanks
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+
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+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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+ me use its servers and providing upgrades to my workstation to enable
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+ this work in my free time.
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+
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+ <!-- end -->