Uzbek-llama-3.1-8B-instruct-v2-GGUF Open Source Model - Free Support for Uzbek and English Text Generation

Uzbek Llama 3.1 8B Instruct V2 GGUF

Developed by mradermacher

This is a statically quantized version based on the Llama-3.1-8B-Instuct-Uz model, supporting text generation tasks in Uzbek and English.

Large Language Model Supports Multiple Languages#Uzbek instruction fine-tuning #Multilingual text generation #Low-resource quantization deployment

Downloads 323

Release Time : 8/1/2024

Model Overview

This model is an instruction-fine-tuned large language model optimized for Uzbek, based on the Llama architecture, suitable for various text generation tasks.

Model Features

Multilingual support

Specially optimized for Uzbek while maintaining English performance

Rich quantization versions

Offers 15 different quantization levels from Q2_K to f16

Instruction fine-tuning

Optimized based on instruction datasets like alpaca-cleaned

Model Capabilities

Text generation

Summarization

Translation tasks

Q&A systems

Use Cases

Language processing

Uzbek text generation

Generate natural language text in Uzbek

Uzbek-English translation

Translate between Uzbek and English

Education

Language learning assistance

Assist in learning Uzbek or English

🚀 Uzbek Llama 3.1 8B Instruct Quantized Model

This project provides static quantizations of the Uzbek Llama 3.1 8B Instruct model, supporting multiple languages and various NLP tasks.

📚 Documentation

Model Information

Property	Details
Base Model	behbudiy/Llama-3.1-8B-Instuct-Uz
Datasets	yahma/alpaca-cleaned, behbudiy/alpaca-cleaned-uz, behbudiy/translation-instruction
Language	uz, en
Library Name	transformers
License	llama3.1
Quantized By	mradermacher
Tags	llama, text-generation-inference, summarization, translation, question-answering

About

Static quants of https://huggingface.co/behbudiy/Llama-3.1-8B-Instuct-Uz.

Weighted/imatrix quants seem not to be available (by me) at this time. 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.

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	3.3
GGUF	IQ3_XS	3.6
GGUF	Q3_K_S	3.8
GGUF	IQ3_S	3.8	beats Q3_K*
GGUF	IQ3_M	3.9
GGUF	Q3_K_M	4.1	lower quality
GGUF	Q3_K_L	4.4
GGUF	IQ4_XS	4.6
GGUF	Q4_K_S	4.8	fast, recommended
GGUF	Q4_K_M	5.0	fast, recommended
GGUF	Q5_K_S	5.7
GGUF	Q5_K_M	5.8
GGUF	Q6_K	6.7	very good quality
GGUF	Q8_0	8.6	fast, best quality
GGUF	f16	16.2	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.

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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