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Qwen3 4B AWQ by Qwen

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Qwen3 4B AWQ is an open-source language model by Qwen. Features: 4b LLM, VRAM: 2.7GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

  Arxiv:2309.00071   Arxiv:2505.09388   4-bit   Awq Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-4b   Conversational   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-4B-AWQ 

Qwen3 4B AWQ Benchmarks

LLME Score: 0.27904
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B AWQ (Qwen/Qwen3-4B-AWQ)

Qwen3 4B AWQ Parameters and Internals

LLM NameQwen3 4B AWQ
Repository 🤗https://huggingface.co/Qwen/Qwen3-4B-AWQ 
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM2.7 GB
Updated2026-08-02
MaintainerQwen
Model Typeqwen3
Model Files  2.7 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-4B-AWQ.

Rank the Qwen3 4B AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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