ErebusTN/EGen_V1

---

---

EGen V1

🎯 Performance Metrics

Category	Performance	Details
Architecture	THL-150	14B Active Parameters
MMLU Score	72.3%	Knowledge & Reasoning
MATH-500	92.3%	Advanced Mathematics
LiveCodeBench	65.1%	Code Generation
Inference	30-70 ms/token	RTX 3070 GPU, 4-bit quantized

---

🛠️ Technical Stack

Core Infrastructure

• Hardware: RTX 3070 GPU, Google Cloud TPUs
• Architecture: Custom THL-150 Transformer
• Training: Distributed PyTorch FSDP, Horovod
• Optimization: DeepSpeed, Flash Attention, LoRA

Development Tools

• ML Frameworks:
• Deployment:
• Data Tools:
• Monitoring:
• Infrastructure:

---

✨ Key Features

• 🧠 Advanced NLP: Context-aware processing, multi-language support.
• 🚀 High-Speed Inference: 30-70 ms/token on RTX 3070.
• 🔄 Zero-Shot Learning: Exceptional task adaptation.
• 🛡️ Enterprise Security: Model watermarking & governance.
• 🌐 Multi-Modal Support: Text, code, structured data.

---

📦 Resources & Support

Documentation

• 📖 Technical Docs

Licensing

• Research & Academic Use: Free with attribution.
• Commercial Use: Requires a license. Contact [email protected].
• Modifications: Allowed with proper attribution.

---

📜 License

EGen V1 License

The EGen V1 model is licensed under the following terms:

• Research & Academic Use: Free for non-commercial use with proper attribution.
• Commercial Use: Requires a license. Contact [email protected] for licensing details.
• Modifications: Permitted, but derivative works must include the original license and attribution.

Key Restrictions:

• Redistribution of the model or its weights is prohibited without explicit permission.
• Use in malicious or harmful applications is strictly forbidden.

---

EGen V1 - Advancing AI Technology

Documentation