Model Overview
NousResearch/Hermes-2-Theta-Llama-3-70B is a 70 billion parameter model, a collaborative effort by Nous Research, Charles Goddard, and Arcee AI. It represents an experimental merge and subsequent RLHF (Reinforcement Learning from Human Feedback) of the Hermes 2 Pro model and Meta's Llama-3 Instruct, aiming to integrate their respective advantages into a single, powerful model.
Key Capabilities
- Advanced Prompt Formatting: Utilizes ChatML for highly structured and steerable multi-turn chat dialogues, supporting system prompts for guiding model behavior, roles, and stylistic choices.
- Function Calling: Specifically trained for robust function calling, allowing the model to generate structured tool calls based on provided function signatures, facilitating integration with external APIs and tools.
- Structured Outputs (JSON Mode): Capable of generating responses strictly in JSON format according to a given JSON schema, ideal for data annotation, feature extraction from RAG documents, and other structured data tasks.
- Conversational AI: Designed for high-quality, fluent, and detailed conversational interactions, with an emphasis on reasoning and step-by-step thought processes.
Performance Highlights
- GPT4All Average: 76.93
- AGIEval Average: 60.50
- BigBench Average: 56.91
- TruthfulQA (mc2): 62.88
- IFEval: 87.99
- MTBench Average: 9.04375
Good for
- Complex Conversational Agents: Building chatbots that require steerability, role-playing, and adherence to specific dialogue structures.
- Automated Data Processing: Tasks requiring structured JSON outputs, such as annotating LLM training data or extracting specific features from documents.
- Tool-Use and Automation: Integrating with external systems via function calling, enabling the model to interact with APIs and perform actions.
- Reasoning and Problem Solving: Leveraging its combined heritage for tasks involving knowledge, reasoning, mathematics, and code.