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mradermacher
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LightChatAssistant-4x7B-GGUF

Transformers
GGUF
Japanese
mistral
mixtral
Not-For-All-Audiences
nsfw
Inference Endpoints
Model card Files Community
mradermacher commited on
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1 Parent(s): 0575830

auto-patch README.md

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  ---
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  base_model: Aratako/LightChatAssistant-4x7B
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  language:
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- - en
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  library_name: transformers
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  license: apache-2.0
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  quantized_by: mradermacher
@@ -48,7 +48,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/LightChatAssistant-4x7B-GGUF/resolve/main/LightChatAssistant-4x7B.Q6_K.gguf) | Q6_K | 19.9 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/LightChatAssistant-4x7B-GGUF/resolve/main/LightChatAssistant-4x7B.Q8_0.gguf) | Q8_0 | 25.8 | fast, best quality |
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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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  base_model: Aratako/LightChatAssistant-4x7B
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  language:
4
+ - ja
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  library_name: transformers
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  license: apache-2.0
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  quantized_by: mradermacher
 
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  | [GGUF](https://huggingface.co/mradermacher/LightChatAssistant-4x7B-GGUF/resolve/main/LightChatAssistant-4x7B.Q6_K.gguf) | Q6_K | 19.9 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/LightChatAssistant-4x7B-GGUF/resolve/main/LightChatAssistant-4x7B.Q8_0.gguf) | Q8_0 | 25.8 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
52
  types (lower is better):
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