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metadata
base_model: ibivibiv/multimaster-7b-v2
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - moe
  - moerge

About

static quants of https://huggingface.co/ibivibiv/multimaster-7b-v2

weighted/imatrix quants are available at https://huggingface.co/mradermacher/multimaster-7b-v2-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)

Link Type Size/GB Notes
GGUF Q2_K 13.0
GGUF IQ3_XS 14.6
GGUF Q3_K_S 15.4
GGUF IQ3_S 15.4 beats Q3_K*
GGUF IQ3_M 15.7
GGUF Q3_K_M 17.1 lower quality
GGUF Q3_K_L 18.5
GGUF IQ4_XS 19.2
GGUF Q4_K_S 20.2 fast, recommended
GGUF Q4_K_M 21.5 fast, recommended
GGUF Q5_K_S 24.5
GGUF Q5_K_M 25.2
GGUF Q6_K 29.2 very good quality
GGUF Q8_0 37.7 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.