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Nemotron Research Reasoning Qwen 1.5B by nvidia

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Nemotron Research Reasoning Qwen 1.5B is an open-source language model by nvidia. Features: 1.5b LLM, VRAM: 7.1GB, Context: 128K, License: cc-by-nc-4.0, LLM Explorer Score: 0.26.

  Arxiv:2505.24864   Arxiv:2510.01180 Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-Research-Reasoning-Qwen-1.5B 

Nemotron Research Reasoning Qwen 1.5B Benchmarks

LLME Score: 0.26039
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 (nvidia/Nemotron-Research-Reasoning-Qwen-1.5B)
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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
Updated2026-05-14
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

Best Alternatives to Nemotron Research Reasoning Qwen 1.5B

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Context / RAM
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ReaderLM V2500K / 3.1 GB164134783
Reader Lm 1.5B250K / 3.1 GB603608
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB4908171502
VibeThinker 1.5B128K / 3.5 GB2319521
Ko R1 1.5B Preview128K / 7.1 GB159
Qwen2.5 1.5B128K / 3.1 GB869756176
Polyalign Qwen2.5 1.5B En Sft128K / 6.2 GB400
Qwen2 1.5B128K / 3.1 GB136737102
OpenReasoning Nemotron 1.5B128K / 3.1 GB793456
DeepScaleR 1.5B Preview128K / 7.1 GB7129583
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-Research-Reasoning-Qwen-1.5B.

Rank the Nemotron Research Reasoning Qwen 1.5B 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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