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Mistral-Large-Instruct-2407-GGUF

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GGUF
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@@ -40,9 +40,19 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
 
 
 
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_S.gguf.part2of2) | IQ3_S | 53.1 | beats Q3_K* |
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_M.gguf.part2of2) | IQ3_M | 55.4 | |
 
 
 
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q4_K_S.gguf.part2of2) | Q4_K_S | 69.7 | fast, recommended |
 
 
 
 
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q8_0.gguf.part3of3) | Q8_0 | 130.4 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q2_K.gguf) | Q2_K | 45.3 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_XS.gguf.part2of2) | IQ3_XS | 50.2 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q3_K_S.gguf.part2of2) | Q3_K_S | 52.9 | |
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_S.gguf.part2of2) | IQ3_S | 53.1 | beats Q3_K* |
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ3_M.gguf.part2of2) | IQ3_M | 55.4 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q3_K_M.gguf.part2of2) | Q3_K_M | 59.2 | lower quality |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q3_K_L.gguf.part2of2) | Q3_K_L | 64.7 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.IQ4_XS.gguf.part2of2) | IQ4_XS | 66.1 | |
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q4_K_S.gguf.part2of2) | Q4_K_S | 69.7 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q4_K_M.gguf.part2of2) | Q4_K_M | 73.3 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q5_K_S.gguf.part2of2) | Q5_K_S | 84.5 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q5_K_M.gguf.part2of2) | Q5_K_M | 86.6 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q6_K.gguf.part3of3) | Q6_K | 100.7 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Mistral-Large-Instruct-2407-GGUF/resolve/main/Mistral-Large-Instruct-2407.Q8_0.gguf.part3of3) | Q8_0 | 130.4 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant