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README.md
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---
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language:
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- en
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library_name: transformers
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license: cc-by-nc-4.0
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quantized_by: mradermacher
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---
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## About
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weighted/imatrix quants of https://huggingface.co/Envoid/Mixtral-Instruct-ITR-8x7B
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<!-- provided-files -->
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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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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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more details, including on how to concatenate multi-part files.
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## Provided Quants
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-IQ2_M.gguf) | i1-IQ2_M | 15.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q2_K.gguf) | i1-Q2_K | 17.6 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 20.7 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 22.8 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 24.4 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 27.0 | almost as good as Q4_K_M |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 28.7 | fast, medium quality |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 32.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral-Instruct-ITR-8x7B-i1-GGUF/resolve/main/Mixtral-Instruct-ITR-8x7B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 33.5 | best weighted quant |
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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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And here are Artefact2's thoughts on the matter:
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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<!-- end -->
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