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Qwen3 235B A22B Instruct 2507 NVFP4 by nvidia

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Qwen3 235B A22B Instruct 2507 NVFP4 is an open-source language model by nvidia. Features: 235b LLM, VRAM: 139.2GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

  8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-235b-a22...   Conversational   Instruct   Model optimizer   Modelopt   Nvfp4   Nvidia   Quantized   Qwen3   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen3-235B-A22B-Instruct-2507-NVFP4 

Qwen3 235B A22B Instruct 2507 NVFP4 Benchmarks

LLME Score: 0.28931
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 NVFP4 (nvidia/Qwen3-235B-A22B-Instruct-2507-NVFP4)
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Qwen3 235B A22B Instruct 2507 NVFP4 Parameters and Internals

LLM NameQwen3 235B A22B Instruct 2507 NVFP4
Repository 🤗https://huggingface.co/nvidia/Qwen3-235B-A22B-Instruct-2507-NVFP4 
Base Model(s)  Qwen3 235B A22B Instruct 2507   Qwen/Qwen3-235B-A22B-Instruct-2507
Model Size235b
Required VRAM139.2 GB
Updated2026-05-08
Maintainernvidia
Model Typeqwen3_moe
Instruction-BasedYes
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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...en3 235B A22B Instruct 2507 1M986K / 171.9 GB51
Qwen3 235B A22B Instruct 2507256K / 171.9 GB111905779
Qwen3 235B A22B Instruct 2507256K / 167.9 GB849
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB239764147
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB1283
...3 235B A22B Instruct 2507 8bit256K / 227.7 GB44142
...3 235B A22B Instruct 2507 4bit256K / 131.4 GB28013
...5B A22B Instruct 2507 3bit DWQ256K / 103 GB1785
...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 nvidia/Qwen3-235B-A22B-Instruct-2507-NVFP4.

Rank the Qwen3 235B A22B Instruct 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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