Claire-7B-0.1-GGUF/README.md

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

base_model	datasets	language	library_name	license	quantized_by	tags
OpenLLM-France/Claire-7B-0.1	OpenLLM-France/Claire-Dialogue-French-0.1	fr	transformers	cc-by-nc-sa-4.0	mradermacher	pretrained conversational

About

static quants of https://huggingface.co/OpenLLM-France/Claire-7B-0.1

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Claire-7B-0.1-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	IQ3_S	4.0	beats Q3_K*
GGUF	IQ3_XS	4.0
GGUF	Q2_K	4.0
GGUF	Q3_K_S	4.0
GGUF	IQ3_M	4.1
GGUF	Q3_K_M	4.2	lower quality
GGUF	IQ4_XS	4.3
GGUF	Q3_K_L	4.5
GGUF	Q4_K_S	4.8	fast, recommended
GGUF	Q4_K_M	5.1	fast, recommended
GGUF	Q5_K_S	5.4
GGUF	Q5_K_M	5.8
GGUF	Q6_K	7.1	very good quality
GGUF	Q8_0	7.8	fast, best quality

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.