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

base_model	datasets	extra_gated_fields	language	library_name	license	quantized_by	tags
stabilityai/stablelm-zephyr-3b	HuggingFaceH4/ultrachat_200k HuggingFaceH4/ultrafeedback_binarized meta-math/MetaMathQA WizardLM/WizardLM_evol_instruct_V2_196k Intel/orca_dpo_pairs	Country Email I ALLOW Stability AI to email me about new model releases Name Organization or Affiliation text text checkbox text text	en	transformers	other	mradermacher	causal-lm

About

static quants of https://huggingface.co/stabilityai/stablelm-zephyr-3b

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	1.2
GGUF	IQ3_XS	1.3
GGUF	IQ3_S	1.4	beats Q3_K*
GGUF	Q3_K_S	1.4
GGUF	IQ3_M	1.4
GGUF	Q3_K_M	1.5	lower quality
GGUF	Q3_K_L	1.6
GGUF	IQ4_XS	1.6
GGUF	Q4_K_S	1.7	fast, recommended
GGUF	Q4_K_M	1.8	fast, recommended
GGUF	Q5_K_S	2.0
GGUF	Q5_K_M	2.1
GGUF	Q6_K	2.4	very good quality
GGUF	Q8_0	3.1	fast, best quality
GGUF	f16	5.7	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.