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Qwen3 235B A22B Instruct 2507 by Qwen

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  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: 0.45616
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
Updated2025-07-22
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

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