Qwen3 30B A3B Instruct 2507 FP8 by Qwen

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Qwen3 30B A3B Instruct 2507 FP8 is an open-source language model by Qwen. Features: 30b LLM, VRAM: 31.2GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.34.

  Arxiv:2505.09388   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen3-30b-a3b-...   Conversational   Endpoints compatible   Fp8   Instruct   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow

Qwen3 30B A3B Instruct 2507 FP8 Benchmarks

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 Instruct 2507 FP8 (Qwen/Qwen3-30B-A3B-Instruct-2507-FP8)
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Qwen3 30B A3B Instruct 2507 FP8 Parameters and Internals

LLM NameQwen3 30B A3B Instruct 2507 FP8
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 
Base Model(s)  Qwen3 30B A3B Instruct 2507   Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size30b
Required VRAM31.2 GB
Updated2025-09-23
MaintainerQwen
Model Typeqwen3_moe
Instruction-BasedYes
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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Qwen3 30B A3B Instruct 2507256K / 61.1 GB1497250600
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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-30B-A3B-Instruct-2507-FP8.

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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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Release v20241124