AirLLM

aillminferenceoptimizationopen-source

AirLLM

AirLLM is an open-source inference engine designed for efficient and scalable deployment of large language models (LLMs). It focuses on high performance, low latency, and cost-effective serving of LLMs in production environments.

Key Features

  • Optimized for fast LLM inference
  • Supports various LLM architectures (e.g., Llama, Baichuan, Qwen, InternLM)
  • Multi-model and multi-backend support
  • Quantization and memory optimization
  • RESTful API for easy integration
  • Open-source and actively maintained

Use Cases

  • Deploying LLMs for chatbots, virtual assistants, and AI applications
  • Serving multiple LLMs in a single environment
  • Reducing inference costs and improving response times

References