base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
ValiantLabs/Ministral-3-14B-Reasoning-2512-Esper3.1	sequelbox/Titanium3-DeepSeek-V3.1-Terminus sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus sequelbox/Tachibana3-Part2-DeepSeek-V3.2 sequelbox/Mitakihara-DeepSeek-R1-0528	en	transformers	apache-2.0	readme_rev 1	mradermacher	esper esper-3.1 esper-3 valiant valiant-labs mistral3 mistral mistral-common ministral-3-14b ministral reasoning code code-instruct python javascript dev-ops jenkins terraform ansible docker jenkins kubernetes helm grafana prometheus shell bash azure aws gcp cloud scripting powershell problem-solving architect engineer developer creative analytical expert rationality conversational chat instruct

About

weighted/imatrix quants of https://huggingface.co/ValiantLabs/Ministral-3-14B-Reasoning-2512-Esper3.1

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

static quants are available at https://huggingface.co/mradermacher/Ministral-3-14B-Reasoning-2512-Esper3.1-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 quants)
GGUF	i1-IQ1_M	3.6	mostly desperate
GGUF	i1-IQ2_XXS	4.0
GGUF	i1-IQ2_XS	4.4
GGUF	i1-IQ2_S	4.6
GGUF	i1-IQ2_M	4.9
GGUF	i1-Q2_K_S	5.0	very low quality
GGUF	i1-Q2_K	5.3	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	5.5	lower quality
GGUF	i1-Q3_K_S	6.2	IQ3_XS probably better
GGUF	i1-IQ3_M	6.4
GGUF	i1-Q3_K_M	6.8	IQ3_S probably better
GGUF	i1-Q3_K_L	7.3	IQ3_M probably better
GGUF	i1-IQ4_XS	7.5
GGUF	i1-IQ4_NL	7.9	prefer IQ4_XS
GGUF	i1-Q4_K_S	7.9	optimal size/speed/quality
GGUF	i1-Q4_K_M	8.3	fast, recommended
GGUF	i1-Q5_K_S	9.5
GGUF	i1-Q6_K	11.2	practically like static Q6_K

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, 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.