File size: 4,186 Bytes
34ed57e 9585ed3 34ed57e 166a86a 34ed57e 166a86a eec825f 166a86a 34ed57e d656394 34ed57e eec825f a3a3546 7d19746 a3a3546 7d19746 a3a3546 91450ef 553821a 7d19746 a3a3546 553821a 43129f1 166a86a 34ed57e 08fc1f5 d656394 08fc1f5 d656394 88b5004 ca35b0f 34ed57e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
exported_from: mistralai/Mixtral-8x7B-v0.1
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
<!-- provided-files -->
## 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 | 9.8 | for the desperate |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 12.6 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 13.9 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ2_S.gguf) | i1-IQ2_S | 14.4 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ2_M.gguf) | i1-IQ2_M | 15.8 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q2_K.gguf) | i1-Q2_K | 17.6 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 18.6 | 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 | 19.3 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 19.5 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-IQ3_S.gguf) | i1-IQ3_S | 20.7 | 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 | 20.7 | IQ3_XS 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 | 21.7 | |
| [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 | 22.8 | IQ3_S probably better |
| [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 | 24.4 | IQ3_M probably better |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q4_0.gguf) | i1-Q4_0 | 26.8 | |
| [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 | 27.0 | optimal size/speed/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 | 28.7 | fast, recommended |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 32.5 | |
| [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 | 33.5 | |
| [GGUF](https://huggingface.co./mradermacher/Mixtral-8x7B-v0.1-i1-GGUF/resolve/main/Mixtral-8x7B-v0.1.i1-Q6_K.gguf) | i1-Q6_K | 38.6 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## 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.
<!-- end -->
|