Chitu

Chitu: High-Performance Inference Framework

Chitu is a cutting-edge inference framework designed specifically for large language models. It emphasizes three core principles:

• Efficiency: Continuous development and integration of the latest optimizations for large language models, including GPU kernels, parallel strategies, and quantizations.
• Flexibility: Support for a wide range of hardware environments, including legacy GPUs, non-NVIDIA GPUs, and CPUs, making it versatile for diverse deployment requirements.
• Availability: Ready for real-world production, ensuring that users can deploy models effectively.

Key Features:

• Supports various mainstream large language models, including DeepSeek, LLaMA series, and Mixtral.
• Offers CPU+GPU hybrid inference capabilities.
• Provides efficient operators with online FP8 to BF16 conversion.
• Comprehensive performance testing tools available.

Benefits:

• Improved output speed and efficiency, especially in memory bandwidth utilization.
• Designed for professional users and developers with detailed installation guides and support.

Highlights:

• Active community contributions and discussions.
• Apache License v2.0, ensuring open-source accessibility.