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mradermacher
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mistral-Summarizer-7b-instruct-v0.2-GGUF

Transformers
GGUF
French
text-generation-inference
unsloth
mistral
summarizer
16bit
conversational
Model card Files
xet
Community
mradermacher commited on
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auto-patch README.md

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  ---
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  base_model: Labagaite/mistral-Summarizer-7b-instruct-v0.2
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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
@@ -50,7 +50,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/mistral-Summarizer-7b-instruct-v0.2-GGUF/resolve/main/mistral-Summarizer-7b-instruct-v0.2.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/mistral-Summarizer-7b-instruct-v0.2-GGUF/resolve/main/mistral-Summarizer-7b-instruct-v0.2.Q8_0.gguf) | Q8_0 | 7.8 | 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: Labagaite/mistral-Summarizer-7b-instruct-v0.2
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  language:
4
+ - fr
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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/mistral-Summarizer-7b-instruct-v0.2-GGUF/resolve/main/mistral-Summarizer-7b-instruct-v0.2.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/mistral-Summarizer-7b-instruct-v0.2-GGUF/resolve/main/mistral-Summarizer-7b-instruct-v0.2.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
54
  types (lower is better):
55