README.md

metadata

base_model:
  - Himitsui/Kaiju-11B
  - Sao10K/Fimbulvetr-11B-v2
  - decapoda-research/Antares-11b-v2
  - beberik/Nyxene-v3-11B
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - moe
  - frankenmoe
  - merge
  - mergekit
  - Himitsui/Kaiju-11B
  - Sao10K/Fimbulvetr-11B-v2
  - decapoda-research/Antares-11b-v2
  - beberik/Nyxene-v3-11B

About

static quants of https://huggingface.co/Steelskull/Umbra-v3-MoE-4x11b

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	Q4_K_M	22.1	fast, medium quality
GGUF	Q8_0	38.6	fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9