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Qwen3 235B A22B Instruct 2507 1M by chutesai

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Qwen3 235B A22B Instruct 2507 1M is an open-source language model by chutesai. Features: 235b LLM, VRAM: 171.9GB, Context: 986K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.21.

  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/chutesai/Qwen3-235B-A22B-Instruct-2507-1M 

Qwen3 235B A22B Instruct 2507 1M Benchmarks

LLME Score: 0.20961
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 1M (chutesai/Qwen3-235B-A22B-Instruct-2507-1M)
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Qwen3 235B A22B Instruct 2507 1M Parameters and Internals

LLM NameQwen3 235B A22B Instruct 2507 1M
Repository 🤗https://huggingface.co/chutesai/Qwen3-235B-A22B-Instruct-2507-1M 
Model Size235b
Required VRAM171.9 GB
Updated2025-10-26
Maintainerchutesai
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
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typebfloat16

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Qwen3 235B A22B Instruct 2507256K / 171.9 GB183785772
Qwen3 235B A22B Instruct 2507256K / 167.9 GB989
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB239764147
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB38826
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB373
...3 235B A22B Instruct 2507 8bit256K / 227.7 GB44142
...3 235B A22B Instruct 2507 4bit256K / 131.4 GB39953
...5B A22B Instruct 2507 3bit DWQ256K / 103 GB405
...5B A22B Instruct 2507 4bit DWQ256K / 131.4 GB572
...n3 235B A22B Instruct 2507 AWQ256K / 124.1 GB16974
Note: green Score (e.g. "73.2") means that the model is better than chutesai/Qwen3-235B-A22B-Instruct-2507-1M.

Rank the Qwen3 235B A22B Instruct 2507 1M 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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