Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/README.md

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

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
ValiantLabs/Ministral-3-8B-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-3-8b 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

static quants of https://huggingface.co/ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-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	3.5
GGUF	Q3_K_S	4.0
GGUF	Q3_K_M	4.3	lower quality
GGUF	Q3_K_L	4.7
GGUF	IQ4_XS	4.8
GGUF	Q4_K_S	5.1	fast, recommended
GGUF	Q4_K_M	5.3	fast, recommended
GGUF	Q5_K_S	6.0
GGUF	Q5_K_M	6.2
GGUF	Q6_K	7.1	very good quality
GGUF	Q8_0	9.1	fast, best quality
GGUF	f16	17.1	16 bpw, overkill

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.