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mradermacher
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Antler-7B-RP-v2-GGUF

Transformers
GGUF
Japanese
Not-For-All-Audiences
nsfw
Inference Endpoints
Model card Files Community
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auto-patch README.md

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  1. README.md +1 -2
README.md CHANGED
@@ -4,7 +4,7 @@ datasets:
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  - grimulkan/LimaRP-augmented
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  - Aratako/Rosebleu-1on1-Dialogues-RP
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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
@@ -49,7 +49,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Antler-7B-RP-v2-GGUF/resolve/main/Antler-7B-RP-v2.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Antler-7B-RP-v2-GGUF/resolve/main/Antler-7B-RP-v2.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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  - grimulkan/LimaRP-augmented
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  - Aratako/Rosebleu-1on1-Dialogues-RP
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  language:
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+ - 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/Antler-7B-RP-v2-GGUF/resolve/main/Antler-7B-RP-v2.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Antler-7B-RP-v2-GGUF/resolve/main/Antler-7B-RP-v2.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
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  types (lower is better):
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