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
- [ECConnector] LMCache EC connector entrypoint
- Fix Marlin repack PTX incompatibility on H100/H200 (CUDA 12.8)
- [ROCm][perf] Use workspace manager for sparse indexer allocations
- [Bugfix] Fix TypeError in response_input_to_harmony when assistant content is None
- [ZenCPU] Changes with respect to docker build and relevant cpu tests
- Add opt-in `--record-power` option to `vllm bench serve`
- [torch.compile] Add compile-only mode
- [Renderer] Enforce token-only inputs for LLMEngine and AsyncLLM
- [Feature]: Sharded model loader doesn't support GCS
- [Usage]: In the context of pp parallelism, UniformTypeKVCacheSpecs type, the calculation of page size considers all the layers， not only the layerss of one pp rank ?
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