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<div align="center">
<img src="https://github.com/souschef-ai/SousChef/blob/main/assets/logo.svg?raw=true" width="60%" alt="SousChef AI" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://www.cookprotocol.xyz/" target="_blank" style="margin: 2px;">
<img alt="Homepage" src="https://github.com/souschef-ai/SousChef/blob/main/assets/badge.svg?raw=true" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://chat.souschef.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/Chat-SousChef%20AI-6c5ce7?color=6c5ce7&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://huggingface.co/souschef-ai" target="_blank" style="margin: 2px;">
<img alt="Hugging Face" src="https://img.shields.io/badge/Hugging%20Face-SousChef%20AI-fbc531?color=fbc531&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://x.com/cookprotocol" target="_blank" style="margin: 2px;">
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<a href="https://github.com/souschef-ai/SousChef/blob/main/LICENSE-CODE" style="margin: 2px;">
<img alt="Code License" src="https://img.shields.io/badge/Code_License-MIT-f5c542?color=f5c542" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://github.com/souschef-ai/SousChef/blob/main/LICENSE-MODEL" style="margin: 2px;">
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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) |