MiniCPM4 - Efficient Edge-Side Large Model
Skills:
LLM Engineering90%
Key Takeaways
This video demonstrates the features and capabilities of MiniCPM4, an efficient edge-side large model, covering its efficient model architecture, learning algorithms, and inference system, including InfLLM v2, Model Wind Tunnel 2.0, BitCPM, UltraClean, and UltraChat v2.
Original Description
🚀 MiniCPM4 is here! 5x faster on end devices 🔥
✨ What's new:
🏗️ Efficient Model Architecture
- InfLLM v2 -- Trainable Sparse Attention Mechanism
🧠 Efficient Learning Algorithms
- Model Wind Tunnel 2.0 -- Efficient Predictable Scaling
- BitCPM -- Ultimate Ternary Quantization
📚 High-Quality Training Data
- UltraClean -- High-quality Pre-training Data Filtering and Generation
- UltraChat v2 -- High-quality Supervised Fine-tuning Data Generation
⚡ Efficient Inference System:
- CPM.cu -- Light Lightweight and Efficient CUDA Inference Framework
- ArkInfer -- Cross-Platform Deployment Framework
📖 Technical Report: https://github.com/OpenBMB/MiniCPM/blob/main/report/MiniCPM_4_Technical_Report.pdf
🤗 Models: https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b
⭐ GitHub: https://github.com/OpenBMB/MiniCPM
🤖 Discord: https://t.co/g8WB7WxxSj
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