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BigWeave-v18-108b-GGUF

Inference Endpoints

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mradermacher commited on May 6

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@@ -42,7 +42,6 @@ more details, including on how to concatenate multi-part files.
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q6_K.gguf.part2of2) | Q6_K | 89.3 | very good quality |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q8_0.gguf.part3of3) | Q8_0 | 115.5 | fast, best quality |
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):

 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q6_K.gguf.part2of2) | Q6_K | 89.3 | very good quality |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/BigWeave-v18-108b-GGUF/resolve/main/BigWeave-v18-108b.Q8_0.gguf.part3of3) | Q8_0 | 115.5 | fast, best quality |
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):