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]: MooncakeStoreConnector process_tokens assertion fails on decode with MTP speculative decoding
- [Test][Core] Cover Mamba-deferred prefix-cache metrics
- [Online quantization] Support activation quant key override
- [Tests][Parser] Add unit tests for tool-call parser metrics
- [Profiler] Export torch profiler trace off the worker's main thread
- Copy CPU shared-memory tails at their exact length
- [BugFix] Clamp Mooncake store token_len to hash coverage under MTP/async scheduling
- [Bug]: deepseek-v4-flash-0731 use vllm 0.27.0 run error
- [Bug]: Optional usage telemetry (py-cpuinfo) can kill engine startup in a forked worker
- [Benchmark] Add standalone rust vllm-bench image
- Docs
- Python not yet supported