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

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
gplsi/Aitana-7B-S-base	gplsi/alia_dogv gplsi/alia_les_corts gplsi/alia_amic gplsi/alia_boua gplsi/alia_tourism	ca es en	transformers	apache-2.0	readme_rev 1	mradermacher	valencian catalan spanish english text-generation alia gplsi

About

weighted/imatrix quants of https://huggingface.co/gplsi/Aitana-7B-S-base

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

static quants are available at https://huggingface.co/mradermacher/Aitana-7B-S-base-1.0-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 quants)
GGUF	i1-IQ1_S	2.4	for the desperate
GGUF	i1-IQ1_M	2.5	mostly desperate
GGUF	i1-IQ2_XXS	2.7
GGUF	i1-IQ2_XS	2.9
GGUF	i1-IQ2_S	3.1
GGUF	i1-IQ2_M	3.2
GGUF	i1-Q2_K_S	3.2	very low quality
GGUF	i1-Q2_K	3.4	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	3.5	lower quality
GGUF	i1-IQ3_XS	3.7
GGUF	i1-Q3_K_S	3.9	IQ3_XS probably better
GGUF	i1-IQ3_S	3.9	beats Q3_K*
GGUF	i1-IQ3_M	4.0
GGUF	i1-Q3_K_M	4.1	IQ3_S probably better
GGUF	i1-Q3_K_L	4.4	IQ3_M probably better
GGUF	i1-IQ4_XS	4.6
GGUF	i1-Q4_0	4.8	fast, low quality
GGUF	i1-IQ4_NL	4.8	prefer IQ4_XS
GGUF	i1-Q4_K_S	4.8	optimal size/speed/quality
GGUF	i1-Q4_K_M	5.0	fast, recommended
GGUF	i1-Q4_1	5.2
GGUF	i1-Q5_K_S	5.6
GGUF	i1-Q5_K_M	5.7
GGUF	i1-Q6_K	6.5	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.