Locutusque/Hercules-2.5-Mistral-7B

Hercules-2.5-Mistral-7B: Specialized Instruction Following and Function Calling

Hercules-2.5-Mistral-7B, developed by Locutusque, is a 7 billion parameter language model fine-tuned from Mistralai/Mistral-7B-v0.1. It is specifically engineered for enhanced instruction following, seamless function calling, and engaging in detailed conversations across various scientific and technical fields. The model's training dataset, Hercules-v2.5, expands upon OpenHermes-2.5 with contributions from numerous curated datasets, focusing on complex instructions and domain-specific knowledge.

Key Capabilities

• Complex Instruction Following: Accurately executes multi-step instructions, including those with specialized terminology.
• Function Calling: Interprets and executes function calls, providing appropriate input and output values.
• Domain-Specific Knowledge: Engages in informative discussions across Biology, Chemistry, Physics, Mathematics, Medicine, and Computer Science.
• Performance: Achieved an average score of 63.59 on the Open LLM Leaderboard, outperforming many merge-free SFT Mistral fine-tunes.

Intended Uses

• Specialized Chatbots: Ideal for creating knowledgeable conversational agents in scientific and technical domains.
• Instructional Assistants: Supports users with educational and step-by-step guidance.
• Code Generation and Execution: Facilitates code execution through function calls, aiding in software development and prototyping.

Training Details

The model was trained on 8 Kaggle TPUs using torch xla SPMD and a learning rate of 2e-06 with the Adam optimizer. It was fine-tuned on 200,000 examples of Hercules-v2.0 and 100,000 examples of Hercules-v2.5, utilizing OpenAI's ChatML prompt format, adapted for function calling capabilities.