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Tess-2.0-Mixtral-8x22B-GGUF

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@@ -15,7 +15,7 @@ quantized_by: mradermacher
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  static quants of https://huggingface.co/migtissera/Tess-2.0-Mixtral-8x22B
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  <!-- provided-files -->
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- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -29,13 +29,19 @@ 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/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q2_K.gguf.part2of2) | Q2_K | 52.2 | |
 
 
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_S.gguf.part2of2) | Q3_K_S | 61.6 | |
 
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_M.gguf.part2of2) | Q3_K_M | 67.9 | lower quality |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_L.gguf.part2of2) | Q3_K_L | 72.7 | |
 
 
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q4_K_M.gguf.part2of2) | Q4_K_M | 85.7 | fast, recommended |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_S.gguf.part2of2) | Q5_K_S | 97.1 | |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_M.gguf.part3of3) | Q5_K_M | 100.1 | |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q6_K.gguf.part3of3) | Q6_K | 115.6 | very good 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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  static quants of https://huggingface.co/migtissera/Tess-2.0-Mixtral-8x22B
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  <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-i1-GGUF
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
 
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q2_K.gguf.part2of2) | Q2_K | 52.2 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ3_XS.gguf.part2of2) | IQ3_XS | 58.3 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ3_S.gguf.part2of2) | IQ3_S | 61.6 | beats Q3_K* |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_S.gguf.part2of2) | Q3_K_S | 61.6 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ3_M.gguf.part2of2) | IQ3_M | 64.6 | |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_M.gguf.part2of2) | Q3_K_M | 67.9 | lower quality |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q3_K_L.gguf.part2of2) | Q3_K_L | 72.7 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.IQ4_XS.gguf.part2of2) | IQ4_XS | 76.5 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q4_K_S.gguf.part2of2) | Q4_K_S | 80.6 | fast, recommended |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q4_K_M.gguf.part2of2) | Q4_K_M | 85.7 | fast, recommended |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_S.gguf.part2of2) | Q5_K_S | 97.1 | |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q5_K_M.gguf.part3of3) | Q5_K_M | 100.1 | |
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  | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q6_K.gguf.part3of3) | Q6_K | 115.6 | very good quality |
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+ | [PART 1](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q8_0.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q8_0.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q8_0.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Tess-2.0-Mixtral-8x22B-GGUF/resolve/main/Tess-2.0-Mixtral-8x22B.Q8_0.gguf.part4of4) | Q8_0 | 149.5 | 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):