đ Mistral-7B-Instruct-Uz GGUF Quantizations
This project provides static quantizations of the Mistral-7B-Instruct-Uz model, offering various quantization types for different use cases.
đ Quick Start
The following sections provide details about the model, its usage, and the available quantizations.
⨠Features
- Multi - language support: Supports both Uzbek (
uz) and English (en).
- Diverse tasks: Suitable for tasks like text generation inference, summarization, translation, and question - answering.
- Multiple datasets: Trained on a variety of datasets including
tahrirchi/uz - crawl, allenai/c4, etc.
đĻ Installation
No specific installation steps are provided in the original document.
đ Documentation
About
This repository contains static quants of https://huggingface.co/behbudiy/Mistral-7B-Instruct-Uz. At present, weighted/imatrix quants seem not to be available (by me). If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Model Information
| Property |
Details |
| Base Model |
behbudiy/Mistral-7B-Instruct-Uz |
| Datasets |
tahrirchi/uz-crawl, allenai/c4, MLDataScientist/Wikipedia-uzbek-2024-05-01, yahma/alpaca-cleaned, behbudiy/alpaca-cleaned-uz, behbudiy/translation-instruction |
| Language |
uz, en |
| Library Name |
transformers |
| License |
apache-2.0 |
| Quantized By |
mradermacher |
| Tags |
text-generation-inference, summarization, translation, question-answering |
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 |
2.8 |
|
| GGUF |
Q3_K_S |
3.3 |
|
| GGUF |
Q3_K_M |
3.6 |
lower quality |
| GGUF |
Q3_K_L |
3.9 |
|
| GGUF |
IQ4_XS |
4.0 |
|
| GGUF |
Q4_K_S |
4.2 |
fast, recommended |
| GGUF |
Q4_K_M |
4.5 |
fast, recommended |
| GGUF |
Q5_K_S |
5.1 |
|
| GGUF |
Q5_K_M |
5.2 |
|
| GGUF |
Q6_K |
6.0 |
very good quality |
| GGUF |
Q8_0 |
7.8 |
fast, best quality |
| GGUF |
f16 |
14.6 |
16 bpw, overkill |
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.
đ License
The model is licensed under the apache - 2.0 license.
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.
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Transformers