# Prompt-Driven Tool-Calling for Lightweight Open Source LLMs (AIS2C2 2025 Paper)

> Source: <https://discuss.huggingface.co/t/prompt-driven-tool-calling-for-lightweight-open-source-llms-ais2c2-2025-paper/176978#post_1>
> Published: 2026-06-19 09:47:44+00:00

Hi Hugging Face community

I’m excited to share my recent research work published at AIS2C2 2025.

Paper: Prompt-Driven Tool-Calling for Lightweight Open Source LLMs

This research explores how **lightweight open-source LLMs** can perform complex tasks using a **prompt-driven tool-calling framework**, without relying on large proprietary models.

Problem Statement

Most small LLMs struggle with:

- Multi-step reasoning
- Tool usage (APIs, calculators, search tools)
- Complex task decomposition

Large models solve this, but they are expensive and not always deployable.

Proposed Idea

We introduce a **prompt-driven approach** that enables LLMs to:

- Decide when to use tools
- Select appropriate tools dynamically
- Chain multiple reasoning steps
- Reduce dependency on large models

Key Benefits

- Works with lightweight open-source LLMs
- Reduces compute requirements
- Enables AI agent-like behavior
- Practical for real-world deployment

Paper Link

[https://www.aiscindia.co.in/wp-content/uploads/2026/06/ilovepdf_merged-4.pdf](https://www.aiscindia.co.in/wp-content/uploads/2026/06/ilovepdf_merged-4.pdf)

Looking for Feedback

I would love feedback from the community on:

- Better tool-calling strategies
- Improvements for lightweight agents
- Open-source implementations

Thank you!