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---
language:
- en
license: llama3
tags:
- Llama-3
- RL
- Atropos
- Tool Calling
- Nous Research
- instruct
- finetune
- reasoning
- function calling
- transformers
- reinforcement-learning
- json mode
- chatml
base_model: meta-llama/Meta-Llama-3.1-8B
library_name: transformers
---
# 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:
🔗 [Atropos GitHub Repository](https://github.com/NousResearch/Atropos)
## 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](https://github.com/NousResearch/Hermes-Function-Calling)
## How to Cite
```bibtex
@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:
- [Atropos Framework Issues](https://github.com/NousResearch/Atropos/issues)
- [DeepHermes Models Issues](https://github.com/NousResearch/Hermes-Function-Calling/issues)
Nous Research encourages active community engagement and open-source contributions to continuously improve model performance and capabilities.
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