This is quantized version of nvidia/OpenReasoning-Nemotron-7B created using llama.cpp OpenReasoning-Nemotron-7B is a large language model (LLM) which is a derivative of Qwen2.5-7B-Instruct (AKA the reference model). It is a reasoning model that is post-trained for reasoning about math, code and science solution generation. We evaluated this model with up to 64K output tokens. The OpenReasoning model is available in the following sizes: 1.5B, 7B and 14B and 32B. This model is ready for commercial/non-commercial research use. GOVERNING TERMS: Use of the models listed above are governed by the Creative Commons Attribution 4.0 International License (CC-BY-4.0). ADDITIONAL INFORMATION: Apache 2.0 License Our models demonstrate exceptional performance across a suite of challenging reasoning benchmarks. The 7B, 14B, and 32B models consistently set new state-of-the-art records for their size classes. * This is our estimation of the Artificial Analysis Intelligence Index, not an official score. OpenReasoning-Nemotron models can be used in a «heavy» mode by starting multiple parallel generations and combining them together via generative solution selection (GenSelect). To add this «skill»…
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, nvidia, code, en, endpoints_compatible, conversational
Лайков: 3 | Загрузок: 238
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
