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Qwen3 Nemotron 235B A22B GenRM 2603 by nvidia

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Qwen3 Nemotron 235B A22B GenRM 2603 is an open-source language model by nvidia. Features: 235b LLM, VRAM: 195GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.29.

  Arxiv:2505.11475   Arxiv:2509.21319 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-235b-a22...   Conversational   En   Nvidia   Qwen3   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen3-Nemotron-235B-A22B-GenRM-2603 

Qwen3 Nemotron 235B A22B GenRM 2603 Benchmarks

LLME Score: 0.29482
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Nemotron 235B A22B GenRM 2603 (nvidia/Qwen3-Nemotron-235B-A22B-GenRM-2603)
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Qwen3 Nemotron 235B A22B GenRM 2603 Parameters and Internals

LLM NameQwen3 Nemotron 235B A22B GenRM 2603
Repository 🤗https://huggingface.co/nvidia/Qwen3-Nemotron-235B-A22B-GenRM-2603 
Base Model(s)  Qwen3 235B A22B Thinking 2507   Qwen/Qwen3-235B-A22B-Thinking-2507
Model Size235b
Required VRAM195 GB
Updated2026-04-14
Maintainernvidia
Model Typeqwen3_moe
Model Files  5.0 GB: 1-of-95   5.0 GB: 2-of-95   5.0 GB: 3-of-95   5.0 GB: 4-of-95   5.0 GB: 5-of-95   5.0 GB: 6-of-95   5.0 GB: 7-of-95   5.0 GB: 8-of-95   5.0 GB: 9-of-95   5.0 GB: 10-of-95   5.0 GB: 11-of-95   5.0 GB: 12-of-95   5.0 GB: 13-of-95   5.0 GB: 14-of-95   5.0 GB: 15-of-95   5.0 GB: 16-of-95   5.0 GB: 17-of-95   5.0 GB: 18-of-95   5.0 GB: 19-of-95   5.0 GB: 20-of-95   5.0 GB: 21-of-95   5.0 GB: 22-of-95   5.0 GB: 23-of-95   5.0 GB: 24-of-95   5.0 GB: 25-of-95   5.0 GB: 26-of-95   5.0 GB: 27-of-95   5.0 GB: 28-of-95   5.0 GB: 29-of-95   5.0 GB: 30-of-95   5.0 GB: 31-of-95   5.0 GB: 32-of-95   5.0 GB: 33-of-95   5.0 GB: 34-of-95   5.0 GB: 35-of-95   5.0 GB: 36-of-95   5.0 GB: 37-of-95   5.0 GB: 38-of-95   5.0 GB: 39-of-95
Supported Languagesen
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typebfloat16

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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
Qwen3 235B A22B Thinking 2507256K / 167.9 GB922
MiroThinker 1.7256K / 220 GB790136
MiroThinker 1.7 Mini256K / 61.1 GB179486
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB239764147
Qwen3 235B A22B Thinking 2507256K / 171.9 GB37143404
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB82249
...n3 235B A22B Thinking 2507 FP8256K / 236.5 GB2106083
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen3-Nemotron-235B-A22B-GenRM-2603.

Rank the Qwen3 Nemotron 235B A22B GenRM 2603 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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