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metadata
base_model: maywell/Yi-Ko-34B-Instruct
language:
  - en
  - ko
library_name: transformers
license: other
license_link: LICENSE
license_name: yi-license
quantized_by: mradermacher
tags:
  - pytorch
  - Yi-Ko
  - 01-ai
  - Yi

About

static quants of https://huggingface.co/maywell/Yi-Ko-34B-Instruct

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 13.0
GGUF IQ3_XS 14.5
GGUF Q3_K_S 15.2
GGUF IQ3_S 15.2 beats Q3_K*
GGUF IQ3_M 15.8
GGUF Q3_K_M 16.9 lower quality
GGUF Q3_K_L 18.4
GGUF IQ4_XS 18.9
GGUF Q4_K_S 19.8 fast, recommended
GGUF Q4_K_M 20.9 fast, recommended
GGUF Q5_K_S 24.0
GGUF Q5_K_M 24.6
GGUF Q6_K 28.5 very good quality
GGUF Q8_0 36.9 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.