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---
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- moe
---
## About
weighted/imatrix quants of https://huggingface.co./mistralai/Mixtral-8x7B-v0.1
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## 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 |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ1_S.gguf) | i1-IQ1_S | 9.7 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 12.5 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 13.8 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q2_K.gguf) | i1-Q2_K | 17.5 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 18.5 | fast, lower quality |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q3_K_XS.gguf) | i1-Q3_K_XS | 19.2 | IQ3-XXS probably better |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ3_S.gguf) | i1-IQ3_S | 20.6 | fast, beats Q3_K* |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 20.6 | IQ3-XXS probably better |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ3_M.gguf) | i1-IQ3_M | 21.6 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 22.7 | lower quality |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 24.3 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 26.9 | fast, medium quality |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 28.6 | fast, medium quality |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 33.4 | best weighted quant |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
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