mradermacher's picture
auto-patch README.md
36b0c72 verified
|
raw
history blame
3.76 kB
metadata
base_model: yam-peleg/Hebrew-Mistral-7B-200K
language:
  - en
  - he
library_name: transformers
license: apache-2.0
quantized_by: mradermacher

About

static quants of https://huggingface.co/yam-peleg/Hebrew-Mistral-7B-200K

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 3.0
GGUF IQ3_XS 3.3
GGUF Q3_K_S 3.4
GGUF IQ3_S 3.4 beats Q3_K*
GGUF IQ3_M 3.5
GGUF Q3_K_M 3.8 lower quality
GGUF Q3_K_L 4.1
GGUF Q4_K_S 4.4 fast, recommended
GGUF Q4_K_M 4.7 fast, recommended
GGUF Q5_K_S 5.3
GGUF Q5_K_M 5.4
GGUF Q6_K 6.3 very good quality
GGUF Q8_0 8.1 fast, best quality
GGUF f16 15.1 16 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.