What are the hardware requirements for Llama 3.1 8B Instruct Uz?

Llama 3.1 8B Instruct Uz requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B Instruct Uz and how large is it?

Llama 3.1 8B Instruct Uz is developed by behbudiy, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3.1 8B Instruct Uz?

Llama 3.1 8B Instruct Uz is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Instruct Uz by behbudiy — VRAM 16.1GB

Name: Llama 3.1 8B Instruct Uz
Author: behbudiy

Llama 3.1 8B Instruct Uz is an open-source language model by behbudiy. Features: 8b LLM, VRAM: 16.1GB, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.14.

Conversational Dataset:behbudiy/alpaca-cleane... Dataset:behbudiy/translation-i... Dataset:yahma/alpaca-cleaned En Endpoints compatible Instruct Llama Lora Region:us Safetensors Sharded Summarization Tensorflow Translation Uz

Model Card on HF 🤗: https://huggingface.co/behbudiy/Llama-3.1-8B-Instruct-Uz

Llama 3.1 8B Instruct Uz Parameters and Internals

LLM Name	Llama 3.1 8B Instruct Uz
Repository 🤗	https://huggingface.co/behbudiy/Llama-3.1-8B-Instruct-Uz
Base Model(s)	models/Meta-Llama-3.1-8B-Instruct models/Meta-Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-04
Maintainer	behbudiy
Instruction-Based	Yes
Model Files	0.7 GB 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	uz en
Model Architecture	AutoModelForCausalLM
License	llama3.1
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_247\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|up_proj\|k_proj\|v_proj\|q_proj\|gate_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	64

Rank the Llama 3.1 8B Instruct Uz capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama 3.1 8B Instruct Uz

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.1 8B Instuct Uz	128K / 16.1 GB	1000	15
Cve Model	0K / 0.3 GB	16	0
ConfTuner Ministral	0K / 16.1 GB	13	4
Autotrain Pvqlj Odah2	0K / 0.2 GB	18	0
500tiao 100lun	0K / 0.2 GB	7	0
...8B Instruct Shimshimi 500 Ver2	0K / 16.1 GB	9	0
Codelica	0K / 16.1 GB	111	0
ModeliCo 8B	0K / 16.1 GB	4	2
Llama31 Eros	0K / 16.1 GB	5	1
...3.1 8B Instruct Simplicity RAG	0K / 48.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than behbudiy/Llama-3.1-8B-Instruct-Uz.