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
- [Misc] Feat/trtllm structured output bench test fixes and updates
- Exclude .git from Docker build to Improve layer cache hits
- [RFC]: Kernel Library Restructure / Packaging Split (addressing long build times)
- [LoRA] Add `--lora-target-modules` to selectively apply LoRA layers
- Implement LMDB-based multi-modal cache
- [Feature]: Extract KV-Cache update from all attention backends
- [Bug]: vLLM hangs forever on waiting engine process to start
- [Kernel] Optimize Triton Fused MoE kernel by splitting k-dim
- Reinterpreting Fused MoE–LoRA as a Standard Fused MoE Kernel
- [Feature] Auto-calculate num_redundant_experts for EPLB (#30075)
- Docs
- Python not yet supported