Qwen3 235B A22B Thinking 2507 NVFP4 by nvidia

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Qwen3 235B A22B Thinking 2507 NVFP4 is an open-source language model by nvidia. Features: 235b LLM, VRAM: 139.2GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-235b-a22...   Conversational   Model optimizer   Modelopt   Nvfp4   Nvidia   Quantized   Qwen3   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow

Qwen3 235B A22B Thinking 2507 NVFP4 Benchmarks

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 Thinking 2507 NVFP4 (nvidia/Qwen3-235B-A22B-Thinking-2507-NVFP4)
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Qwen3 235B A22B Thinking 2507 NVFP4 Parameters and Internals

LLM NameQwen3 235B A22B Thinking 2507 NVFP4
Repository ๐Ÿค—https://huggingface.co/nvidia/Qwen3-235B-A22B-Thinking-2507-NVFP4 
Base Model(s)  Qwen3 235B A22B Thinking 2507   Qwen/Qwen3-235B-A22B-Thinking-2507
Model Size235b
Required VRAM139.2 GB
Updated2026-03-28
Maintainernvidia
Model Typeqwen3_moe
Model Files  5.0 GB: 1-of-28   5.0 GB: 2-of-28   5.0 GB: 3-of-28   5.0 GB: 4-of-28   5.0 GB: 5-of-28   5.0 GB: 6-of-28   5.0 GB: 7-of-28   5.0 GB: 8-of-28   5.0 GB: 9-of-28   5.0 GB: 10-of-28   5.0 GB: 11-of-28   5.0 GB: 12-of-28   5.0 GB: 13-of-28   5.0 GB: 14-of-28   5.0 GB: 15-of-28   5.0 GB: 16-of-28   5.0 GB: 17-of-28   5.0 GB: 18-of-28   5.0 GB: 19-of-28   5.0 GB: 20-of-28   5.0 GB: 21-of-28   5.0 GB: 22-of-28   5.0 GB: 23-of-28   5.0 GB: 24-of-28   4.9 GB: 25-of-28   5.0 GB: 26-of-28   5.0 GB: 27-of-28   4.3 GB: 28-of-28
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.56.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Errorsreplace

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... Nemotron 235B A22B GenRM 2603256K / 195 GB109922
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...n3 235B A22B Thinking 2507 FP8256K / 236.5 GB4077682
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB38826
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB43543
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen3-235B-A22B-Thinking-2507-NVFP4.

Rank the Qwen3 235B A22B Thinking 2507 NVFP4 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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Release v20260328a