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Qwen3 4B Instruct 2507 FP8 by unsloth

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Qwen3 4B Instruct 2507 FP8 is an open-source language model by unsloth. Features: 4b LLM, VRAM: 4.4GB, Context: 256K, License: apache-2.0, Instruction-Based.

  Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-instr...   Conversational   Endpoints compatible   Fp8   Instruct   Qwen3   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-FP8 
Qwen3 4B Instruct 2507 FP8 (unsloth/Qwen3-4B-Instruct-2507-FP8)
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Qwen3 4B Instruct 2507 FP8 Parameters and Internals

LLM NameQwen3 4B Instruct 2507 FP8
Repository 🤗https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-FP8 
Base Model(s)  Qwen3 4B Instruct 2507 FP8   Qwen/Qwen3-4B-Instruct-2507-FP8
Model Size4b
Required VRAM4.4 GB
Updated2026-03-27
Maintainerunsloth
Model Typeqwen3
Instruction-BasedYes
Model Files  4.4 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-4B-Instruct-2507-FP8.

Rank the Qwen3 4B Instruct 2507 FP8 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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