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
weighted/imatrix quants of https://huggingface.co/Steelskull/Umbra-v3-MoE-4x11b
static quants are available at https://huggingface.co/mradermacher/Umbra-v3-MoE-4x11b-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 | i1-IQ1_S | 7.7 | for the desperate |
| GGUF | i1-IQ2_XXS | 9.8 | |
| GGUF | i1-IQ2_M | 12.2 | |
| GGUF | i1-IQ3_XXS | 14.2 | fast, lower quality |
| GGUF | i1-IQ3_XS | 14.9 | |
| GGUF | i1-IQ3_S | 15.8 | fast, beats Q3_K* |
| GGUF | i1-IQ3_M | 16.1 |
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