All evaluations were done using NeMo-Skills. We published a tutorial with all details necessary to reproduce our evaluation results. This model supports runtime “thinking” budget control. During inference, the user can specify how many tokens the model is allowed to «think». — Architecture Type: Mamba2-Transformer Hybrid — Network Architecture: Nemotron-Hybrid NVIDIA-Nemotron-Nano-9B-v2 is a general purpose reasoning and chat model intended to be used in English and coding languages. Other non-English languages (German, French, Italian, Spanish and Japanese) are also supported. Developers designing AI Agent systems, chatbots, RAG systems, and other AI-powered applications. Also suitable for typical instruction-following tasks. — Huggingface 08/18/2025 via https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2 — API Catalog 08/18/2025 via https://build.nvidia.com/nvidia/nvidia-nemotron-nano-9b-v2 — NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model — Input Type(s): Text — Input Format(s): String — Input Parameters: One-Dimensional (1D): Sequences — Other Properties Related to Input: Context length up to 128K. Supported languages include…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: cpagac
Теги: nemotron_h, nvidia, heretic, uncensored, decensored, abliterated, conversational, custom_code
Лайков: 4 | Загрузок: 49
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
