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Model: NousResearch/DeepHermes-ToolCalling-Specialist-Atropos
Source: Original Platform

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README.md

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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: 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/BWIFtF7oBWO2b_Q1oh4YM.png)
+
+## 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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+  "vocab_size": 128256
+}

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