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Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF

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metadata
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

static quants of https://huggingface.co/DavidAU/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B

For a convenient overview and download list, visit our model page for this model.

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 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 Q2_K 16.3
GGUF Q3_K_S 19.2
GGUF Q3_K_M 21.2 lower quality
GGUF Q3_K_L 22.9
GGUF IQ4_XS 23.8
GGUF Q4_K_S 25.1 fast, recommended
GGUF Q4_K_M 26.6 fast, recommended
GGUF Q5_K_S 30.2
GGUF Q5_K_M 31.2
GGUF Q6_K 36.0 very good quality
GGUF Q8_0 46.5 fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @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.