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mradermacher
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miqu-1-103b-GGUF

Transformers
GGUF
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  1. README.md +5 -2
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@@ -2,6 +2,10 @@
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  base_model: wolfram/miqu-1-103b
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  language:
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  - en
 
 
 
 
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  library_name: transformers
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  license: other
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  quantized_by: mradermacher
@@ -36,14 +40,13 @@ more details, including on how to concatenate multi-part files.
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q3_K_L.gguf.part2of2) | Q3_K_L | 54.5 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_XS.gguf.part2of2) | IQ4_XS | 56.0 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_S.gguf.part2of2) | Q4_K_S | 59.0 | fast, recommended |
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- | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_NL.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_NL.gguf.part2of2) | IQ4_NL | 59.1 | slightly worse than Q4_K_S |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_M.gguf.part2of2) | Q4_K_M | 62.3 | fast, recommended |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_S.gguf.part2of2) | Q5_K_S | 71.4 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_M.gguf.part2of2) | Q5_K_M | 73.3 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part2of2) | Q6_K | 85.1 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q8_0.gguf.part3of3) | Q8_0 | 110.0 | 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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  base_model: wolfram/miqu-1-103b
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  language:
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  - en
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+ - de
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+ - fr
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+ - es
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+ - it
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  library_name: transformers
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  license: other
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  quantized_by: mradermacher
 
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q3_K_L.gguf.part2of2) | Q3_K_L | 54.5 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_XS.gguf.part2of2) | IQ4_XS | 56.0 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_S.gguf.part2of2) | Q4_K_S | 59.0 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_NL.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.IQ4_NL.gguf.part2of2) | IQ4_NL | 59.1 | prefer IQ4_XS |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q4_K_M.gguf.part2of2) | Q4_K_M | 62.3 | fast, recommended |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_S.gguf.part2of2) | Q5_K_S | 71.4 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q5_K_M.gguf.part2of2) | Q5_K_M | 73.3 | |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part2of2) | Q6_K | 85.1 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q8_0.gguf.part3of3) | Q8_0 | 110.0 | 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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