NousResearch/Nous-Hermes-2-Llama-2-70B
Nous Hermes 2 Llama-2 70B is a 69 billion parameter causal language model developed by Nous Research, based on the Llama-2 architecture. It was trained on over 1,000,000 entries of primarily GPT-4 generated data and other high-quality open datasets. This model is specifically designed to excel in multi-turn chat dialogue and instruction following, utilizing the ChatML prompt format for structured interactions and OpenAI endpoint compatibility.
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Nous Hermes 2 Llama-2 70B Overview
Nous Hermes 2 Llama-2 70B is a large language model developed by Nous Research, built upon the Llama-2 architecture with 69 billion parameters. Its training involved over 1,000,000 entries, predominantly consisting of GPT-4 generated data, supplemented by other high-quality open datasets. This extensive training focuses on enhancing the model's ability to understand and generate human-like text in conversational contexts.
Key Capabilities
- Advanced Instruction Following: The model is fine-tuned to follow complex instructions and engage in multi-turn conversations effectively.
- ChatML Prompt Format: It utilizes the ChatML format, which provides a structured system for dialogue, including system prompts for steerability, roles, and stylistic guidance. This format ensures compatibility with OpenAI API endpoints.
- High-Quality Data Training: Benefiting from a diverse dataset, including a significant portion of GPT-4 generated data, the model aims for high performance in various natural language understanding and generation tasks.
Good For
- Multi-turn Chat Applications: Its design and training make it particularly suitable for chatbots, virtual assistants, and other applications requiring sustained, coherent dialogue.
- Instruction-Based Tasks: Developers can leverage its strong instruction-following capabilities for tasks requiring precise responses based on given prompts and system instructions.
- OpenAI API Familiarity: Users accustomed to the OpenAI API's prompt format will find this model's ChatML implementation intuitive and easy to integrate.