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---
base_model: DavidAU/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B
language:
- en
- fr
- de
- es
- pt
- it
- ja
- ko
- ru
- zh
- ar
- fa
- id
- ms
- ne
- pl
- ro
- sr
- sv
- tr
- uk
- vi
- hi
- bn
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- merge
- programming
- code generation
- Codestral
- code
- moe
- coding
- coder
- chat
- mistral
- mixtral
- mixture of experts
- mistral moe
- 2X24B
- reasoning
- thinking
- Devstral
- Magistral
---
## About
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static quants of https://huggingface.co/DavidAU/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-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-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q2_K.gguf) | Q2_K | 16.3 | |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q3_K_S.gguf) | Q3_K_S | 19.2 | |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q3_K_M.gguf) | Q3_K_M | 21.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q3_K_L.gguf) | Q3_K_L | 22.9 | |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.IQ4_XS.gguf) | IQ4_XS | 23.8 | |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q4_K_S.gguf) | Q4_K_S | 25.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q4_K_M.gguf) | Q4_K_M | 26.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q5_K_S.gguf) | Q5_K_S | 30.2 | |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q5_K_M.gguf) | Q5_K_M | 31.2 | |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q6_K.gguf) | Q6_K | 36.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF/resolve/main/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q8_0.gguf) | Q8_0 | 46.5 | fast, best quality |
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
## 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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