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
- Pretraining: 10 trillion high-quality tokens, covering diverse domains (finance, mathematics, development).
- Fine-tuning: Reinforcement learning on real-world user scenarios.
- Ethical Constraints: Integrated Responsible AI License (RAIL-M) to prevent misuse.
Performance
SousChef v1 consistently outperforms comparable models on key benchmarks, demonstrating exceptional performance in code generation, math reasoning, and portfolio strategies.
3. Model Downloads
| Model | # Parameters | Context Length | Download |
|---|---|---|---|
| SousChef-v1 | 250B | 128K | 🤗 HuggingFace |
Installation
Clone the repository and install dependencies:
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]
- Discord: Join the SousChef AI community