Yehia-7B-preview-GGUF/README.md

base_model, extra_gated_fields, extra_gated_prompt, language, library_name, license, mradermacher, quantized_by

base_model	extra_gated_fields	extra_gated_prompt	language	library_name	license	mradermacher	quantized_by
Navid-AI/Yehia-7B-preview	City Company/Institution Country Full Name I acknowledge and agree that I will not use this model for any commercial purpose without obtaining prior written permission from Navid I have read and agree to the Navid License Terms associated with this model Industry Job Title Phone Number (Optional — enter "N/A" if you prefer not to share) Privacy Notice Purpose for Download text text country text type checkbox type checkbox options type Government / Public Sector Legal / Compliance Healthcare Finance / Banking Insurance Education / Research Technology / Software Telecommunications Energy / Utilities Oil & Gas Retail / E-commerce Manufacturing / Industrial Transportation / Logistics Media / Marketing Non-profit / NGO Consulting label value Other other select text text options type I understand that these details will not be shared with third parties. select text	By requesting access, you confirm that you will use this model responsibly and in accordance with Navid’s licensing and usage policies. You also agree not to use this model to conduct experiments that cause harm to human subjects.	ar en	transformers	apache-2.0	readme_rev 1	mradermacher

About

static quants of https://huggingface.co/Navid-AI/Yehia-7B-preview

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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	2.8
GGUF	Q3_K_S	3.2
GGUF	Q3_K_M	3.6	lower quality
GGUF	Q3_K_L	3.9
GGUF	IQ4_XS	3.9
GGUF	Q4_K_S	4.1	fast, recommended
GGUF	Q4_K_M	4.4	fast, recommended
GGUF	Q5_K_S	5.0
GGUF	Q5_K_M	5.1
GGUF	Q6_K	5.8	very good quality
GGUF	Q8_0	7.5	fast, best quality
GGUF	f16	14.1	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.