base_model: yanolja/YanoljaNEXT-Rosetta-12B-2510
language:
- ar
- bg
- zh
- cs
- da
- nl
- en
- fi
- fr
- de
- el
- gu
- he
- hi
- hu
- id
- it
- ja
- ko
- fa
- pl
- pt
- ro
- ru
- sk
- es
- sv
- tl
- th
- tr
- uk
- vi
library_name: transformers
license: gemma
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- translation
About
weighted/imatrix quants of https://huggingface.co/yanolja/YanoljaNEXT-Rosetta-12B-2510
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-12B-2510-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 | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
| GGUF | i1-Q2_K | 5.2 | IQ3_XXS probably better |
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
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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.