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Qwen3 4B Instruct 2507 by Qwen

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Qwen3 4B Instruct 2507 is an open-source language model by Qwen. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.42.

  Arxiv:2505.09388   Conversational   Deploy:azure   Endpoints compatible   Eval-results   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507 

Qwen3 4B Instruct 2507 Benchmarks

LLME Score: 0.42463
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Instruct 2507 (Qwen/Qwen3-4B-Instruct-2507)
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Qwen3 4B Instruct 2507 Parameters and Internals

LLM NameQwen3 4B Instruct 2507
Repository 🤗https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507 
Model Size4b
Required VRAM8.1 GB
Updated2026-05-25
MaintainerQwen
Model Typeqwen3
Instruction-BasedYes
Model Files  4.0 GB: 1-of-3   4.0 GB: 2-of-3   0.1 GB: 3-of-3
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen3 4B Instruct 2507

Model
Likes
Downloads
VRAM
...Instruct 2507 Unsloth Bnb 4bit14955543 GB
...wen3 4B Toolcalling Gguf Codex52106564 GB
...Instruct Haiku 4.5 Merged FP161428 GB
Qwen3 4B Instruct 2507 4bit9161632 GB
...wen3 4B Instruct 2507 Bnb 4bit566642 GB
...B Toolcall Gguf Llamacpp Codex79644 GB
...4B Instruct 2507 4bit DWQ 251023442 GB
Qwen3 4B Instruct 2507 8bit41404 GB

Best Alternatives to Qwen3 4B Instruct 2507

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB80378075
CyberSecQwen 4B256K / 8 GB73611
Jan Code 4B256K / 8.9 GB40377
Qwen3 4B Instruct 2507256K / 8.1 GB9869226
Qwen3 4B DASD 32K256K / 8 GB2370
SimpleSD 4B Instruct256K / 8.1 GB11004
Short Drama Title Generator 4B256K / 8 GB831
Scope Guard 4B Q 2601256K / 8.1 GB84011
Bridger 4B256K / 8.1 GB1150
Jan V3 4B Base Instruct256K / 8.9 GB9262

Rank the Qwen3 4B Instruct 2507 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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