vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Kernel] some optimizations for dense marlin and moe marlin
- [V1][Metrics] add support for kv event publishing
- [Model] support MiniMax-VL-01 model
- [Core] Support full cuda graph in v1
- [V1] DP scale-out (2/N): Decouple engine process management and comms
- [WIP][V1/0][P/D] XpYd based on p2p communication without cache store
- [V1][Bugfix]: vllm v1 verison metric num_gpu_blocks is None
- [Bug]: TypeError: Unknown image model type: qwen2_5_omni for branch: qwen2_omni_public_v1
- Adding Share Expert Fusion for DeepSeek
- [Core] [Bugfix] Add Input Embeddings
- Docs
- Python not yet supported