---
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

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weighted/imatrix quants of https://huggingface.co/yanolja/YanoljaNEXT-Rosetta-12B-2510

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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#YanoljaNEXT-Rosetta-12B-2510-i1-GGUF).***

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](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-12B-2510-i1-GGUF/resolve/main/YanoljaNEXT-Rosetta-12B-2510.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-12B-2510-i1-GGUF/resolve/main/YanoljaNEXT-Rosetta-12B-2510.i1-Q2_K.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):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/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.

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