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Qwen3 235B A22B Instruct 2507 by Qwen

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  90940   
  Arxiv:2402.17463   Arxiv:2404.06654   Arxiv:2407.02490   Arxiv:2501.15383   Arxiv:2505.09388   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507 

Qwen3 235B A22B Instruct 2507 Benchmarks

LLME Score: 0.47496
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 235B A22B Instruct 2507 (Qwen/Qwen3-235B-A22B-Instruct-2507)
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Qwen3 235B A22B Instruct 2507 Parameters and Internals

LLM NameQwen3 235B A22B Instruct 2507
Repository 🤗https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507 
Model Size235b
Required VRAM471 GB
Updated2025-09-05
MaintainerQwen
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  4.0 GB: 1-of-118   4.0 GB: 2-of-118   4.0 GB: 3-of-118   4.0 GB: 4-of-118   4.0 GB: 5-of-118   4.0 GB: 6-of-118   4.0 GB: 7-of-118   4.0 GB: 8-of-118   4.0 GB: 9-of-118   4.0 GB: 10-of-118   4.0 GB: 11-of-118   4.0 GB: 12-of-118   4.0 GB: 13-of-118   4.0 GB: 14-of-118   4.0 GB: 15-of-118   4.0 GB: 16-of-118   4.0 GB: 17-of-118   4.0 GB: 18-of-118   4.0 GB: 19-of-118   4.0 GB: 20-of-118   4.0 GB: 21-of-118   4.0 GB: 22-of-118   4.0 GB: 23-of-118   3.9 GB: 24-of-118   4.0 GB: 25-of-118   4.0 GB: 26-of-118   4.0 GB: 27-of-118   4.0 GB: 28-of-118   4.0 GB: 29-of-118   4.0 GB: 30-of-118   4.0 GB: 31-of-118   4.0 GB: 32-of-118   4.0 GB: 33-of-118   4.0 GB: 34-of-118   4.0 GB: 35-of-118   4.0 GB: 36-of-118   4.0 GB: 37-of-118   4.0 GB: 38-of-118   4.0 GB: 39-of-118   4.0 GB: 40-of-118   4.0 GB: 41-of-118   4.0 GB: 42-of-118   4.0 GB: 43-of-118   4.0 GB: 44-of-118   4.0 GB: 45-of-118   4.0 GB: 46-of-118   4.0 GB: 47-of-118   4.0 GB: 48-of-118   4.0 GB: 49-of-118   4.0 GB: 50-of-118   4.0 GB: 51-of-118   4.0 GB: 52-of-118   4.0 GB: 53-of-118   4.0 GB: 54-of-118   4.0 GB: 55-of-118   4.0 GB: 56-of-118   4.0 GB: 57-of-118   4.0 GB: 58-of-118   4.0 GB: 59-of-118   4.0 GB: 60-of-118   4.0 GB: 61-of-118   4.0 GB: 62-of-118   4.0 GB: 63-of-118   4.0 GB: 64-of-118   4.0 GB: 65-of-118   4.0 GB: 66-of-118   4.0 GB: 67-of-118   4.0 GB: 68-of-118   4.0 GB: 69-of-118   4.0 GB: 70-of-118   4.0 GB: 71-of-118   4.0 GB: 72-of-118   4.0 GB: 73-of-118   4.0 GB: 74-of-118   4.0 GB: 75-of-118   4.0 GB: 76-of-118   4.0 GB: 77-of-118   4.0 GB: 78-of-118   4.0 GB: 79-of-118   4.0 GB: 80-of-118   4.0 GB: 81-of-118   4.0 GB: 82-of-118   4.0 GB: 83-of-118   4.0 GB: 84-of-118   4.0 GB: 85-of-118   4.0 GB: 86-of-118   4.0 GB: 87-of-118   4.0 GB: 88-of-118   4.0 GB: 89-of-118   4.0 GB: 90-of-118   4.0 GB: 91-of-118   4.0 GB: 92-of-118   4.0 GB: 93-of-118   4.0 GB: 94-of-118   4.0 GB: 95-of-118   4.0 GB: 96-of-118   4.0 GB: 97-of-118   4.0 GB: 98-of-118   4.0 GB: 99-of-118   4.0 GB: 100-of-118   4.0 GB: 101-of-118   4.0 GB: 102-of-118   4.0 GB: 103-of-118   4.0 GB: 104-of-118   4.0 GB: 105-of-118   4.0 GB: 106-of-118   4.0 GB: 107-of-118   4.0 GB: 108-of-118   4.0 GB: 109-of-118   4.0 GB: 110-of-118   4.0 GB: 111-of-118   4.0 GB: 112-of-118   4.0 GB: 113-of-118   4.0 GB: 114-of-118   4.0 GB: 115-of-118   4.0 GB: 116-of-118   4.0 GB: 117-of-118   3.1 GB: 118-of-118
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 235B A22B Instruct 2507

Model
Likes
Downloads
VRAM
...n3 235B A22B Instruct 2507 AWQ42077124 GB
...3 235B A22B Instruct 2507 4bit358131 GB
...3 235B A22B Instruct 2507 8bit069227 GB

Best Alternatives to Qwen3 235B A22B Instruct 2507

Best Alternatives
Context / RAM
Downloads
Likes
...en3 235B A22B Instruct 2507 1M986K / 171.9 GB161
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB35958119
Qwen3 235B A22B Instruct 2507256K / 471 GB5808
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB2343
...5B A22B Instruct 2507 3bit DWQ256K / 103 GB2685
...5B A22B Instruct 2507 4bit DWQ256K / 131.4 GB1072
...3 235B A22B Instruct 2507 4bit256K / 131.4 GB583
...3 235B A22B Instruct 2507 8bit256K / 227.7 GB690
...n3 235B A22B Instruct 2507 AWQ256K / 124.1 GB20774

Rank the Qwen3 235B A22B 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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