Groq Releases Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use: Open-Source, State-of-the-Art Models Achieving Over 90% Accuracy on Berkeley Function Calling Leaderboard
Practical Solutions and Value
Groq has recently released two innovative open-source models, Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use, in collaboration with Glaive. These models are designed to advance tool use and function-calling capabilities in AI.
The Llama-3-Groq-70B-Tool-Use model has set a new benchmark in the field with an impressive 90.76% overall accuracy on the Berkeley Function Calling Leaderboard (BFCL). Similarly, the Llama-3-Groq-8B-Tool-Use model has demonstrated remarkable performance with an 89.06% overall accuracy, securing the third position on the BFCL. These models are now available on the GroqCloud Developer Hub and Hugging Face under a permissive style license.
The meticulous training approach involved full fine-tuning and Direct Preference Optimization (DPO) without using user data, ensuring high performance and ethical standards in AI development. The models also underwent thorough contamination analysis, resulting in minimal overfitting on the evaluation benchmark.
In addition to their specialized tool use capabilities, the Llama-3 Groq Tool Use models are recommended for use in a hybrid approach with general-purpose language models. This strategy involves implementing a routing system to maximize the overall performance and capabilities of the AI system.
Both Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use are available for preview access through the Groq API, encouraging the community to start building and experimenting with these models through the GroqCloud Developer Hub.
Groq’s commitment to ethical AI development and its collaborative approach with the community underscore the company’s leadership in the field.
AI Solutions for Business
If you want to evolve your company with AI, stay competitive, and use Groq’s open-source models to redefine your way of work. Identify automation opportunities, define KPIs, select an AI solution, and implement gradually to ensure measurable impacts on business outcomes.
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