Edit model card

About

static quants of https://huggingface.co/jambroz/sixtyoneeighty-4x7B-v2

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 8.9
GGUF IQ3_XS 10.0
GGUF Q3_K_S 10.5
GGUF IQ3_S 10.6 beats Q3_K*
GGUF IQ3_M 10.7
GGUF Q3_K_M 11.7 lower quality
GGUF Q3_K_L 12.6
GGUF IQ4_XS 13.1
GGUF Q4_K_S 13.8 fast, recommended
GGUF Q4_K_M 14.7 fast, recommended
GGUF Q5_K_S 16.7
GGUF Q5_K_M 17.2
GGUF Q6_K 19.9 very good quality
GGUF Q8_0 25.8 fast, best quality

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.

Downloads last month
218
GGUF
Model size
24.2B params
Architecture
llama
+2
Unable to determine this model’s pipeline type. Check the docs .

Quantized from