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mradermacher
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lzlv-limarpv3-l2-70b-GGUF

Text Generation
Transformers
GGUF
English
llama
llama 2
Inference Endpoints
Model card Files Community
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auto-patch README.md

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@@ -43,7 +43,6 @@ more details, including on how to concatenate multi-part files.
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  | [PART 1](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q6_K.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q6_K.gguf.split-ab) | Q6_K | 56.7 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q8_0.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q8_0.gguf.split-ab) | Q8_0 | 73.4 | 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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  | [PART 1](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q6_K.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q6_K.gguf.split-ab) | Q6_K | 56.7 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q8_0.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/lzlv-limarpv3-l2-70b-GGUF/resolve/main/lzlv-limarpv3-l2-70b.Q8_0.gguf.split-ab) | Q8_0 | 73.4 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
47
  types (lower is better):
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