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
- [KV Connector][Don't merge] PoC for the async connector lookup functionality
- [For Testing][Do not merge] Re-enable hybrid-kv cache for llama4 by default
- Fix FlexibleArgumentParser to merge JSON and dot notation arguments correctly
- [Rocm] [quickreduce] optimize quickduce for mi 350_355
- Fix .coveragerc to use absolute source path
- [Feature]: Enabling performance optimizations by default
- Refactor/understanding prepare inputs padded
- [Model] Support FP8 Mamba SSM Cache
- Mcp commentary channel bug
- [Refactor][MLA]: Independently pass q_nope & q_rope
- Docs
- Python not yet supported