---
base_model: allura-org/Mistral-Small-Sisyphus-24b-2503
datasets:
- allenai/tulu-3-sft-personas-instruction-following
- simplescaling/s1K-1.1
- simplescaling/s1K-claude-3-7-sonnet
- reedmayhew/medical-o1-reasoning-SFT-jsonl
- OpenCoder-LLM/opc-sft-stage1
- PocketDoc/Dans-Kinomaxx-VanillaBackrooms
- cognitivecomputations/SystemChat-2.0
- anthracite-org/kalo-opus-instruct-22k-no-refusal
- allura-org/scienceqa_sharegpt
language:
- en
- zh
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- axolotl
---
## About

<!-- ### quantize_version: 2 -->
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static quants of https://huggingface.co/allura-org/Mistral-Small-Sisyphus-24b-2503

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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-i1-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 |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q2_K.gguf) | Q2_K | 9.0 |  |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q3_K_S.gguf) | Q3_K_S | 10.5 |  |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q3_K_M.gguf) | Q3_K_M | 11.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q3_K_L.gguf) | Q3_K_L | 12.5 |  |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.IQ4_XS.gguf) | IQ4_XS | 13.0 |  |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q4_K_S.gguf) | Q4_K_S | 13.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q4_K_M.gguf) | Q4_K_M | 14.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q5_K_S.gguf) | Q5_K_S | 16.4 |  |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q5_K_M.gguf) | Q5_K_M | 16.9 |  |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q6_K.gguf) | Q6_K | 19.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Sisyphus-24b-2503-GGUF/resolve/main/Mistral-Small-Sisyphus-24b-2503.Q8_0.gguf) | Q8_0 | 25.2 | fast, best quality |

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.

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