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Mistral-Devstral-2505-CODER-Brainstorm20x-34B-i1-GGUF

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metadata
base_model: DavidAU/Mistral-Devstral-2505-CODER-Brainstorm20x-34B
language:
  - en
  - fr
  - de
  - es
  - pt
  - it
  - ja
  - ko
  - ru
  - zh
  - ar
  - fa
  - id
  - ms
  - ne
  - pl
  - ro
  - sr
  - sv
  - tr
  - uk
  - vi
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library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - merge
  - programming
  - code generation
  - code
  - coding
  - coder
  - chat
  - code
  - chat
  - brainstorm
  - brainstorm20x
  - mistral

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Mistral-Devstral-2505-CODER-Brainstorm20x-34B

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

static quants are available at https://huggingface.co/mradermacher/Mistral-Devstral-2505-CODER-Brainstorm20x-34B-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 imatrix 0.1 imatrix file (for creating your own qwuants)
GGUF i1-IQ2_M 11.7
GGUF i1-Q2_K_S 12.0 very low quality
GGUF i1-Q2_K 12.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 13.4 lower quality
GGUF i1-IQ3_XS 14.3
GGUF i1-Q3_K_S 15.0 IQ3_XS probably better
GGUF i1-IQ3_S 15.1 beats Q3_K*
GGUF i1-IQ3_M 15.4
GGUF i1-Q3_K_M 16.6 IQ3_S probably better
GGUF i1-Q3_K_L 18.0 IQ3_M probably better
GGUF i1-IQ4_XS 18.5
GGUF i1-Q4_0 19.6 fast, low quality
GGUF i1-Q4_K_S 19.6 optimal size/speed/quality
GGUF i1-Q4_K_M 20.8 fast, recommended
GGUF i1-Q4_1 21.6
GGUF i1-Q5_K_S 23.7
GGUF i1-Q5_K_M 24.3
GGUF i1-Q6_K 28.1 practically like static Q6_K

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.