This is quantized version of nvidia/Nemotron-Research-Reasoning-Qwen-1.5B created using llama.cpp Nemotron-Research-Reasoning-Qwen-1.5B 🚀 The leading generalist reasoning model for cutting-edge research and development 🌟 !Comparison between DeepSeek-R1-1.5B and Nemotron-Research-Reasoning-Qwen-1.5B Nemotron-Research-Reasoning-Qwen-1.5B is the world’s leading 1.5B open-weight model for complex reasoning tasks such as mathematical problems, coding challenges, scientific questi It is trained using the ProRL algorithm on a diverse and comprehensive set of datasets. Our model has achieved impressive results, outperforming Deepseek’s 1.5B model by a large margin on a broad range of tasks, including math, coding, and GPQA. ProRL is designed to enable extended RL training periods that facilitate deeper exploration of reasoning strategies. It enables more than 2k training steps and scale the training data across diverse tasks—from traditional math and code tasks to STEM problems, logical puzzles, and instruction following, which, we hypothesize, are crucial for generalization. Based on Group Relative Policy Optimization (GRPO), ProRL introduces three key techniques:…
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Автор: QuantFactory
Теги: gguf, en, endpoints_compatible, conversational
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
