mradermacher's picture
auto-patch README.md
932ffd8 verified
|
raw
history blame
2.01 kB
metadata
language:
  - en
library_name: transformers
license: llama2
quantized_by: mradermacher
tags:
  - Xwin
  - Euryale 1.3
  - Platypus2
  - WinterGoddess
  - frankenmerge
  - dare
  - ties
  - 90b

About

static quants of https://huggingface.co/llmixer/BigWeave-v12-90b

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 32.7
GGUF Q3_K_M 42.6 lower quality
PART 1 PART 2 Q4_K_S 50.2 fast, medium quality
PART 1 PART 2 Q8_0 93.6 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

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.