Qwen3 4B by willcb

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Qwen3 4B is an open-source language model by willcb. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, LLM Explorer Score: 0.2.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow

Qwen3 4B 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 Parameters and Internals

LLM NameQwen3 4B
Repository 🤗https://huggingface.co/willcb/Qwen3-4B 
Model Size4b
Required VRAM8.1 GB
Updated2026-04-23
Maintainerwillcb
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.52.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 4B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507256K / 8.1 GB6381504853
GRPO 4 70256K / 8.1 GB50
Qwen3 4B Thinking 2507256K / 8.1 GB830285581
Lightning 4B256K / 8.1 GB136
AgentCPM Explore256K / 8.9 GB1212415
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB80378075
CyberSecQwen 4B256K / 8 GB73611
OpenSonnet Lite256K / 8.1 GB30024
ChineseErrorCorrector4 4B256K / 8.1 GB1574
Note: green Score (e.g. "73.2") means that the model is better than willcb/Qwen3-4B.

Rank the Qwen3 4B 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