Nemotron-4-340B-Instruct
NVIDIA's advanced language model is optimized for English conversation scenarios.
Product Details
Nemotron-4-340B-Instruct is a large language model (LLM) developed by NVIDIA, specially optimized for English single-turn and multi-turn conversation scenarios. The model supports a context length of 4096 tokens and undergoes additional alignment steps such as supervised fine-tuning (SFT), direct preference optimization (DPO), and reward-aware preference optimization (RPO). Based on about 20K manually labeled data, the model synthesized more than 98% of the data used for supervision fine-tuning and preference fine-tuning through a synthetic data generation pipeline. This enables models that perform well in human conversational preferences, mathematical reasoning, coding, and instruction following, and are able to generate high-quality synthetic data for a variety of use cases.
Main Features
How to Use
Target Users
The Nemotron-4-340B-Instruct model is aimed at developers and enterprises who need to build or customize large-scale language models. It is particularly suitable for users who need to apply AI technology in areas such as English dialogue, mathematical reasoning, and programming guidance.
Examples
Used to generate training data to help developers train customized dialogue systems.
In the field of mathematical problem solving, accurate logical reasoning and solution generation are provided.
Assist programmers to quickly understand code logic and provide programming guidance and code generation.
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