Nemotron Research Reasoning Qwen 1.5B by nvidia

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  Arxiv:2505.24864   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Nemotron Research Reasoning Qwen 1.5B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nemotron Research Reasoning Qwen 1.5B Parameters and Internals

LLM NameNemotron Research Reasoning Qwen 1.5B
Repository 🤗https://huggingface.co/nvidia/Nemotron-Research-Reasoning-Qwen-1.5B 
Base Model(s)  deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B   deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size1.5b
Required VRAM7.1 GB
Updated2025-09-10
Maintainernvidia
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   2.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-4.0
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<|end▁of▁sentence|>
Vocabulary Size151936
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-Research-Reasoning-Qwen-1.5B.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124