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
- [Bug]: `check_enough_kv_cache_memory` didn't consider `num_gpu_blocks_override`
- [Doc]: Multi-Modal Benchmark is too simple
- [Model] Add shared_head to prefix of SharedHead.
- [Bug]: VLLM Hang when DP=2, USE_EP=TRUE, backend = pplx
- [Bug]: DeepSeek v3.2 Exp Issue with Data Parallelism
- Fix: Handle both bytes and str types in async_request_openai_audio
- Experimental attention backend in helion
- [Doc] Refactor import statements for `oneshot` in quantization docs to support newer llm-compressor version
- [Bugfix] Actually enable serialize_messages for harmony Responses (related to #26185)
- [Bug]: [Spec Decode] ngram speculation performance regression at higher concurrany
- Docs
- Python not yet supported