Modelpublic

mradermacher/OneLLM-Doey-ChatQA-V1-Llama-3.2-1B-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

About

static quants of https://huggingface.co/DoeyLLM/OneLLM-Doey-ChatQA-V1-Llama-3.2-1B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/OneLLM-Doey-ChatQA-V1-Llama-3.2-1B-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	0.7
GGUF	Q3KS	0.7
GGUF	Q3KM	0.8	lower quality
GGUF	Q3KL	0.8
GGUF	IQ4_XS	0.8
GGUF	Q404_4	0.9	fast on arm, low quality
GGUF	Q4KS	0.9	fast, recommended
GGUF	Q4KM	0.9	fast, recommended
GGUF	Q5KS	1.0
GGUF	Q5KM	1.0
GGUF	Q6_K	1.1	very good quality
GGUF	Q8_0	1.4	fast, best quality
GGUF	f16	2.6	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. 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.