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Qwen3 4B Instruct 2507 FP8 by Qwen

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Qwen3 4B Instruct 2507 FP8 is an open-source language model by Qwen. Features: 4b LLM, VRAM: 5.2GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.35.

  Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-instr...   Conversational   Deploy:azure   Endpoints compatible   Fp8   Instruct   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507-FP8 

Qwen3 4B Instruct 2507 FP8 Benchmarks

LLME Score: 0.34531
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 FP8 (Qwen/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/Qwen/Qwen3-4B-Instruct-2507-FP8 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM5.2 GB
Updated2026-03-29
MaintainerQwen
Model Typeqwen3
Instruction-BasedYes
Model Files  5.2 GB
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

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...search GooseReason 4B Instruct256K / 17.6 GB3367
Note: green Score (e.g. "73.2") means that the model is better than Qwen/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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