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NousResearch / DeepHermes-ToolCalling-Specialist-Atropos
Model's Last Updated: April 28 2025
reinforcement-learning
Introduction of DeepHermes-ToolCalling-Specialist-Atropos
Model Details of DeepHermes-ToolCalling-Specialist-Atropos
DeepHermes Tool Calling Specialist - Atropos RL
Model Overview
The DeepHermes Tool Calling Specialist - Atropos RL model is an experimental artifact fine-tuned by Nous Research using our innovative open-source reinforcement learning framework—Atropos. This variant specifically improves the tool calling performance of the DeepHermes 3 Llama-3.1 8B model during its reasoning mode.
Note : This model is intended as an experimental artifact and is not designed for broad, general-purpose use.
Atropos Open Source Framework
Atropos is Nous Research’s open-source Reinforcement Learning environment stack, designed to enhance various aspects of LLM functionalities through structured RL methodologies. We encourage contributions and exploration:
Benchmark Results
Evaluations on the Berkeley Function Calling benchmark demonstrate significant improvements in tool calling accuracy during reasoning mode, compared to its base model:
| Benchmark | Base Accuracy | Atropos RL Accuracy | Improvement |
|---|---|---|---|
| Parallel | 0.10 | 0.46 | 4.6x |
| Simple | 0.21 | 0.5175 | 2.5x |
These enhancements are due to RL fine-tuning specifically targeted at improving reasoning-based tool calling capabilities.
Eval set accuracy results:
Key Features
- Improved Tool Calling in Reasoning Mode : Reinforcement learning significantly boosts tool usage during complex reasoning tasks.
- Open-Source RL Framework : Utilizes the fully open-source Atropos RL Environments.
- Active Open Source Community : Contributions welcomed on the Atropos GitHub.
- Upcoming SOTA RL Trainer : A state-of-the-art open-source reinforcement learning trainer by Nous Research is coming soon.
Usage
This model supports multiple inference modes including:
- Reasoning (Deep Thinking Mode)
- Standard Chat/Instruction Mode
- Structured JSON Outputs
- Function Calling
Detailed documentation and example inference code are available:
Note: You must first place DeepHermes' reasoning system prompt, and then append your function calling system prompt after for it to do reasoning and tool calling simultaneously.
🔗 Hermes Function Calling GitHub
How to Cite
@misc{
title={DeepHermes Tool Calling Specialist - Atropos RL},
author={Teknium and Dakota Mahan and Roger Jin and Chen Guang and Jai Suphavadeeprasit and Jeffrey Quesnelle},
year={2025},
url={https://huggingface.co/NousResearch/DeepHermes-Tool-Calling-Specialist-Atropos-RL}
}
Community and Support
For questions, issues, or findings, please open issues or discussions in the respective GitHub repositories:
Nous Research encourages active community engagement and open-source contributions to continuously improve model performance and capabilities.
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Updated:September 08 2024
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