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Qwen3 4B Instruct 2507 by unsloth

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  Arxiv:2505.09388   Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Conversational   Endpoints compatible   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507 

Qwen3 4B Instruct 2507 Benchmarks

LLME Score: 0.32941
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 (unsloth/Qwen3-4B-Instruct-2507)
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Qwen3 4B Instruct 2507 Parameters and Internals

LLM NameQwen3 4B Instruct 2507
Repository 🤗https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.1 GB
Updated2025-08-09
Maintainerunsloth
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 4B Instruct 2507256K / 8.1 GB19483156
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...DER Instruct 12B Brainstorm20x40K / 47.3 GB400
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-4B-Instruct-2507.

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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