Qwen3 4B Uzbek V2 by inspirebek

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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: 0.33.

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

Qwen3 4B Uzbek V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3 4B Uzbek V2 Parameters and Internals

LLM NameQwen3 4B Uzbek V2
Repository 🤗https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2 
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.9 GB
Updated2026-04-21
Maintainerinspirebek
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.9 GB: 2-of-2
Supported Languagesuz en
Model ArchitectureQwen3ForCausalLM
Licensecc-by-nc-4.0
Context Length40960
Model Max Length40960
Transformers Version4.56.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Errorsreplace

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

Rank the Qwen3 4B Uzbek V2 Capabilities

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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  

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Release v20260328a