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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: 0.4.

  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: 0.39908
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
Updated2026-07-07
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 4bit141559623 GB
Qwen3 4B Instruct 2507 4bit10359262 GB
...wen3 4B Toolcalling Gguf Codex5435244 GB
...Instruct Haiku 4.5 Merged FP161428 GB
...wen3 4B Instruct 2507 Bnb 4bit562302 GB
...B Toolcall Gguf Llamacpp Codex79684 GB
...4B Instruct 2507 4bit DWQ 251025872 GB
Qwen3 4B Instruct 2507 8bit42294 GB
Qwen3 4B Instruct 2507 6bit1563 GB

Best Alternatives to Qwen3 4B Instruct 2507

Best Alternatives
Context / RAM
Downloads
Likes
FastContext 1.0 4B SFT256K / 8.1 GB5735357
Fable Traces256K / 8.1 GB277157
FastContext 1.0 4B RL256K / 8.1 GB455961
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB92454678
FastContext 1.0 4B SFT256K / 8.1 GB11313
Agents K1256K / 8.8 GB72522
CyberSecQwen 4B256K / 8 GB61614
Karnak 6B V1.0256K / 11.9 GB7110
Jan Code 4B256K / 8.9 GB41778
Qwen3 4B Elderly Sft Merged256K / 8.1 GB3780
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-4B-Instruct-2507.

Rank the Qwen3 4B Instruct 2507 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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