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Qwen3 30B A3B Thinking 2507 FP8 by Qwen

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  Arxiv:2505.09388   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen3-30b-a3b-...   Conversational   Endpoints compatible   Fp8   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 

Qwen3 30B A3B Thinking 2507 FP8 Benchmarks

LLME Score: 0.36502
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 30B A3B Thinking 2507 FP8 (Qwen/Qwen3-30B-A3B-Thinking-2507-FP8)
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Qwen3 30B A3B Thinking 2507 FP8 Parameters and Internals

LLM NameQwen3 30B A3B Thinking 2507 FP8
Repository 🤗https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 
Base Model(s)  Qwen3 30B A3B Thinking 2507   Qwen/Qwen3-30B-A3B-Thinking-2507
Model Size30b
Required VRAM31.2 GB
Updated2025-07-31
MaintainerQwen
Model Typeqwen3_moe
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   10.0 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureQwen3MoeForCausalLM
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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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-30B-A3B-Thinking-2507-FP8.

Rank the Qwen3 30B A3B Thinking 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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