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
- [Bugfix][Model Loader] Keep the weight lock file name within the 255-byte limit
- [Bug]: thinking_token_budget: generation collapses into a repetition loop exactly at budget exhaustion
- [Bug]: Promoted partial prefix-cache entries reference a parent hash removed in the same batch
- [ROCm][Perf][Tracking Issue]: GLM-5.3-Flash
- [RFC] feat(scheduler): implement Shortest Remaining Prefill First (SRPF) policy with starvation aging
- [Bug]: EngineCore input socket thread dies on an undecodable request and the core stays alive but stops accepting requests
- [Feature]: [ROCm][Hy4] Add calibrated FP8 KV-cache support for sparse MLA
- [Bugfix][Frontend] Avoid IndexError when verbose ASR emits only EOS
- [Bugfix][Frontend] Preserve whole messages in Responses auto truncation
- [RFC]: Publish Mooncake Store residency once per complete block
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- Python not yet supported