vLLM is a fast and easy-to-use library for LLM inference Engine and serving.

vLLM is fast with:

State-of-the-art serving throughput
Efficient management of attention key and value memory with PagedAttention
Continuous batching of incoming requests
Optimized CUDA kernels
vLLM is flexible and easy to use with:

Seamless integration with popular HuggingFace models
High-throughput serving with various decoding algorithms, including parallel sampling, beam search, and more
Tensor parallelism support for distributed inference
Streaming outputs
OpenAI-compatible API server
vLLM seamlessly supports many Huggingface models

Vllm - [ Ссылка ]

Google Colab - [ Ссылка ]

❤️ If you want to support the channel ❤️
Support here:
Patreon - [ Ссылка ]
Ko-Fi - [ Ссылка ]

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