CoolFace
Modelpublic

mradermacher/Janus-Pro-7B-GGUF

sourceHugging Facemitupdated 10mo agoView on Hugging Face
8likes2.3kdownloads
Model Card

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocabtype: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4KS Q2K Q80 Q6K Q3KM Q3KS Q3KL Q4KM Q5KS Q5KM IQ4XS --> <!-- ### quantsskip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/deepseek-community/Janus-Pro-7B

<!-- provided-files -->

*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Janus-Pro-7B-GGUF).*

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Janus-Pro-7B-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)

LinkTypeSize/GBNotes
GGUFmmproj-Q8_00.4multi-modal supplement
GGUFmmproj-f160.8multi-modal supplement
GGUFQ2_K2.8
GGUFQ3KS3.2
GGUFQ3KM3.6lower quality
GGUFQ3KL3.8
GGUFIQ4_XS3.9
GGUFQ4KS4.1fast, recommended
GGUFQ4KM4.3fast, recommended
GGUFQ5KS4.9
GGUFQ5KM5.0
GGUFQ6_K5.8very good quality
GGUFQ8_07.4fast, best quality
GGUFf1613.916 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

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.

<!-- end -->