--- base_model: migtissera/Tess-3-Mixtral-8x22B language: - en library_name: transformers license: apache-2.0 no_imatrtix: "Missing importance matrix for tensor blk.29.ffn_down_exps.weight in a very low-bit quantization" quantized_by: mradermacher --- ## About weighted/imatrix quants of https://huggingface.co/migtissera/Tess-3-Mixtral-8x22B **llama.cpp crashes when creating some of the imatrix quants. Only the ones where it did not crash will be provided. quality is likely reduced. When in doubt, compare with the static quants, which should be safe.** static quants are available at https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [PART 1](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 52.2 | IQ3_XXS probably better | | [PART 1](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-IQ3_XXS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-IQ3_XXS.gguf.part2of2) | i1-IQ3_XXS | 55.0 | lower quality | | [PART 1](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-IQ3_M.gguf.part2of2) | i1-IQ3_M | 64.6 | | | [PART 1](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 67.9 | IQ3_S probably better | | [PART 1](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 80.6 | optimal size/speed/quality | | [PART 1](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Tess-3-Mixtral-8x22B-i1-GGUF/resolve/main/Tess-3-Mixtral-8x22B.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 85.7 | fast, recommended | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better): ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.