Tiny Tool Use by Bagel Labs
Achieve tool use with open-source LLMs, made simple
44 followers
Achieve tool use with open-source LLMs, made simple
44 followers
Tiny Tool Use is a minimal, open-source library for LLMs to make reliable, auditable tool calls. Supports SFT, DPO, and synthetic data — all driven by simple JSON config. Fast setup, strong evals, and ready for real-world prototyping.
Coverr
Femme Stock
@kyrannio Congratulations Kiri! So happy to get the early access.
Coverr
@zeng Thanks, Zeng! We are so thrilled to have you!
Can’t wait to see it all in action so I think I will start reading all the documentation
Coverr
@unity_eagle woohoo! Sounds great, Unity! We are excited to see what you build :). Thanks for joining us!
This launch is a dream come true for developers
Coverr
@rufus87078959 Thanks Rufus. We can’t wait to see what you build! :)
Clean utility 🔧🧠 Simplifying tool use with open-source LLMs hits the sweet spot for devs and tinkerers.
This is the future of AI systems!
Can't wait to start working with Bagel Labs tools and AI!
Smoopit
@kyrannio This is exactly what the ecosystem needed! The config-only approach is brilliant, it removes so much boilerplate complexity. Quick question, how does the Teacher Mode synthetic data generation compare to traditional fine-tuning in terms of model performance? Are you seeing better generalization?