Large Language Model Function Calling
22 repos
Models and systems for enabling LLMs to call external tools and functions as part of agent-based workflows. The cluster centers on function-calling architectures across different model scales (1B to 22B+ parameters), with emphasis on reinforcement learning-trained variants that improve tool-use reasoning. Repositories here span model implementations, evaluation frameworks, and practical agent systems that leverage function calling for reasoning and task execution.
Python · 2
HTML · 1
function-calling ·4,467
tool-use ·3,734
agent ·3,058
llm ·2,874
reinforcement-learning ·2,874
LLM Agent ·1,182
conversational ·728
endpoints_compatible ·728
code ·714
synthetic ·714
