NousResearch/Hermes-2-Theta-Llama-3-70B

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.