Vllm Turbo Quant Support

https://github.com › vllm-project › vllm
Originally developed in the Sky Computing Lab at UC Berkeley vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of

https://vllm.ai
VLLM is a high throughput and memory efficient inference and serving engine for Large Language Models LLMs Deploy AI models faster with state of the art performance

https://github.com › vllm-project
Llm compressor Public Transformers compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM Python 3 4k 541

https://en.wikipedia.org › wiki › VLLM
VLLM vLLM is an open source software framework for inference and serving of large language models and related multimodal models

https://pypi.org › project › vllm
Originally developed in the Sky Computing Lab at UC Berkeley vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many

https://sky.cs.berkeley.edu › project › vllm
On top of it we build vLLM an LLM serving system that achieves 1 near zero waste in KV cache memory and 2 flexible sharing of KV cache within and across requests to further reduce

https://pytorch.org › projects › vllm
VLLM is a high throughput and memory efficient inference and serving engine for LLMs vLLM is an open source library for fast easy to use LLM inference and serving

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