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

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: static quants of https://huggingface.co/DavidAU/Mistral 2x24B…

transformersggufmergeprogrammingcode generationCodestralcodemoecodingcoderchatmistralmixtralmixture of expertsmistral moe2X24BreasoningthinkingDevstralMagistralenfrdees

Runs locally from ~15.07 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
653
Likes
2
Pipeline
—

Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.IQ4_XS.ggufGGUFGGUF22.09 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q2_K.ggufGGUFGGUF15.07 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q3_K_L.ggufGGUFGGUF21.22 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q3_K_M.ggufGGUFGGUF19.61 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q3_K_S.ggufGGUFGGUF17.74 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q4_K_M.ggufGGUFGGUF24.70 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q4_K_S.ggufGGUFGGUF23.26 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q5_K_M.ggufGGUFGGUF28.92 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q5_K_S.ggufGGUFGGUF28.08 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q6_K.ggufGGUFGGUF33.40 GBDownload
Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B.Q8_0.ggufGGUFGGUF43.26 GBDownload

Model Details

Model IDmradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF
Authormradermacher
Pipeline—
Licenseapache-2.0
Base modelDavidAU/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B
Last modified2026-10-06T20:08:25.000Z

Model README

---

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

<!-- ### quantize_version: 2 -->

<!-- ### output_tensor_quantised: 1 -->

<!-- ### convert_type: hf -->

<!-- ### vocab_type: -->

<!-- ### tags: -->

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

<!-- provided-files -->

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](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 | 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.

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