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Qwen3 30B A3B Instruct 2507 by Qwen

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Qwen3 30B A3B Instruct 2507 is an open-source language model by Qwen. Features: 30b LLM, VRAM: 61.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.38.

  Arxiv:2402.17463   Arxiv:2404.06654   Arxiv:2407.02490   Arxiv:2501.15383   Arxiv:2505.09388   Conversational   Deploy:azure   Endpoints compatible   Eval-results   Instruct   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507 

Qwen3 30B A3B Instruct 2507 Benchmarks

LLME Score: 0.37753
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 (Qwen/Qwen3-30B-A3B-Instruct-2507)
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Qwen3 30B A3B Instruct 2507 Parameters and Internals

LLM NameQwen3 30B A3B Instruct 2507
Repository 🤗https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507 
Model Size30b
Required VRAM61.1 GB
Updated2026-05-27
MaintainerQwen
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  4.0 GB: 1-of-16   4.0 GB: 2-of-16   4.0 GB: 3-of-16   4.0 GB: 4-of-16   4.0 GB: 5-of-16   4.0 GB: 6-of-16   4.0 GB: 7-of-16   4.0 GB: 8-of-16   4.0 GB: 9-of-16   4.0 GB: 10-of-16   4.0 GB: 11-of-16   4.0 GB: 12-of-16   4.0 GB: 13-of-16   4.0 GB: 14-of-16   4.0 GB: 15-of-16   1.1 GB: 16-of-16
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

Quantized Models of the Qwen3 30B A3B Instruct 2507

Model
Likes
Downloads
VRAM
...30B A3B Instruct 2507 AWQ 4bit3116243718 GB
...30B A3B Instruct 2507 MLX 8bit47364332 GB
...30B A3B Instruct 2507 AWQ 4bit143303918 GB
...30B A3B Instruct 2507 MLX 4bit83090417 GB
...wen3 30B A3B Instruct 2507 AWQ6353116 GB
...en3 30B A3B Instruct 2507 4bit1079617 GB
...en3 30B A3B Instruct 2507 8bit211632 GB

Best Alternatives to Qwen3 30B A3B Instruct 2507

Best Alternatives
Context / RAM
Downloads
Likes
...LL MASTER CODER M 1million Ctx1024K / 84.8 GB66
Qwen3 30B A3B YOYO V3986K / 61.1 GB97
...07 YOYO2 TOTAL RECALL Instruct986K / 84.8 GB271
...07 YOYO2 TOTAL RECALL Instruct986K / 106 GB200
Qwen3 30B A3B YOYO V2986K / 61.1 GB105
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB20067111064
Qwen3 30B A3B Instruct 2507256K / 61.1 GB469613
...en3 Coder 30B A3B Instruct FP8256K / 31.2 GB997240181
Lynx Instruct 30B256K / 61.1 GB2208083
...wen3 30B A3B Instruct 2507 FP8256K / 31.2 GB295048123
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-30B-A3B-Instruct-2507.

Rank the Qwen3 30B A3B 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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