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| <p align="center"> | |
| <a href="https://github.com/souschef-ai/SousChef/blob/main/SousChef_Paper.pdf"><b>Whitepaper</b> 📄</a> | |
| </p> | |
| ## 1. Introduction | |
| SousChef v1 is an open-source AI model designed to assist developers and power users in building, managing, and innovating on the Hyperliquid ecosystem. With state-of-the-art performance across a wide range of benchmarks, SousChef AI is tailored to deliver actionable insights, streamline portfolio management, and generate optimized strategies. | |
| ### Key Features: | |
| - **Precision**: Advanced reasoning and decision-making capabilities using cutting-edge training objectives. | |
| - **Scalability**: Efficient inference on both consumer-grade GPUs and high-performance clusters. | |
| - **Versatility**: Pretrained for multi-domain tasks, including mathematics, code generation, and portfolio optimization. | |
| SousChef v1 is a step towards making Hyperliquid accessible, transparent, and efficient for everyone. | |
| --- | |
| ## 2. Model Overview | |
| ### **Architecture** | |
| SousChef v1 employs a Hybrid Transformer architecture with: | |
| - **256 Expert Modules** for specific task optimization. | |
| - **Multi-Context Analysis** for longer attention spans (up to 128K tokens). | |
| - **Dynamic Knowledge Fusion**, enabling real-time adaptation to new data. | |
| ### **Training Methodology** | |
| 1. **Pretraining**: 10 trillion high-quality tokens, covering diverse domains (finance, mathematics, development). | |
| 2. **Fine-tuning**: Reinforcement learning on real-world user scenarios. | |
| 3. **Ethical Constraints**: Integrated Responsible AI License (RAIL-M) to prevent misuse. | |
| ### **Performance** | |
| <p align="center"> | |
| <img width="80%" src="assets/benchmark_souschef_v1.png"> | |
| </p> | |
| SousChef v1 consistently outperforms comparable models on key benchmarks, demonstrating exceptional performance in code generation, math reasoning, and portfolio strategies. | |
| --- | |
| ## 3. Model Downloads | |
| <div align="center"> | |
| | **Model** | **# Parameters** | **Context Length** | **Download** | | |
| | :-----------: | :--------------: | :----------------: | :------------------------------------: | | |
| | SousChef-v1 | 250B | 128K | [🤗 HuggingFace](https://huggingface.co/souschef-ai/SousChef-v1) | | |
| </div> | |
| ### Installation | |
| Clone the repository and install dependencies: | |
| ```bash | |
| pip install souschef-ai | |
| ``` | |
| --- | |
| ## 4. License | |
| The code and pre-trained weights for SousChef v1 are licensed under: | |
| - **Code**: MIT License | |
| - **Model**: Open RAIL-M License | |
| --- | |
| ## 5. Contact | |
| Questions or feedback? Reach out via: | |
| - Email: [[email protected]](mailto:[email protected]) | |
| - Discord: [Join the SousChef AI community](https://discord.gg/souschef-ai) |