CoolFace
Modelpublic

mradermacher/rwkv7-7.2B-g0-GGUF

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
4likes327downloads
Model Card

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/fla-hub/rwkv7-7.2B-g0

<!-- provided-files -->

*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#rwkv7-7.2B-g0-GGUF).*

weighted/imatrix quants are available at https://huggingface.co/mradermacher/rwkv7-7.2B-g0-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
GGUFQ2_K3.0
GGUFQ3KL3.7
GGUFQ3KM3.7lower quality
GGUFQ3KS3.7
GGUFIQ4_XS4.4
GGUFQ4KM4.6fast, recommended
GGUFQ4KS4.6fast, recommended
GGUFQ5KM5.4
GGUFQ5KS5.4
GGUFQ6_K6.3very good quality
GGUFQ8_08.0fast, best quality
GGUFf1614.616 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 -->