What are the hardware requirements for Qwen3 4B Uzbek V2?

Qwen3 4B Uzbek V2 requires approximately 8.9 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Uzbek V2 and how large is it?

Qwen3 4B Uzbek V2 is developed by inspirebek, a model with 4b 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 Qwen3 4B Uzbek V2?

Qwen3 4B Uzbek V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Uzbek V2 by inspirebek — VRAM 8.9GB, 40K context

Name: Qwen3 4B Uzbek V2
Author: inspirebek

Qwen3 4B Uzbek V2 is an open-source language model by inspirebek. Features: 4b LLM, VRAM: 8.9GB, Context: 40K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.23.

Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-4b Continued-pretraining Conversational Dataset:behbudiy/alpaca-cleane... Dataset:coherelabs/aya collect... Dataset:med-alex/qa mt ru to u... Dataset:med-alex/qa mt tr to u... Dataset:saillab/alpaca uzbek t... Dataset:tahrirchi/uz-books-v2 Dataset:tahrirchi/uz-crawl Dataset:uazimov/uzbek-instruct... Dataset:yakhyo/uz-wiki En Endpoints compatible Instruct Lora Merge Qwen3 Region:us Safetensors Sft Sharded Tensorflow Uz Uzbek

Model Card on HF 🤗: https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2

Qwen3 4B Uzbek V2 Parameters and Internals

LLM Name	Qwen3 4B Uzbek V2
Repository 🤗	https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.9 GB
Updated	2026-07-16
Maintainer	inspirebek
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	uz en
Model Architecture	Qwen3ForCausalLM
License	cc-by-nc-4.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Uzbek V2 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 Qwen3 4B Uzbek V2

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	345	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Nexa AI 4B Instruct	256K / 8 GB	576	2
Neuron 4B Instruct	256K / 8.1 GB	313	1
Agents K1	256K / 8.8 GB	1098	28

Note: green Score (e.g. "73.2") means that the model is better than inspirebek/qwen3-4b-uzbek-v2.