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
- Bridge pad_token_id from model config to tokenizer (#36429)
- [Bug]: Responses API streaming emits tool call XML as `response.output_text.delta` instead of `response.function_call_arguments.delta` for non-harmony models
- [Bugfix] Add regression test for allreduce RMS fusion with PP
- [Bug]: vllm 0.17.0 部署 Qwen3.5 397b-fp8版本运行过程中异常崩溃(vllm 0.17.0 crashed unexpectedly during deployment of Qwen3.5 397b-fp8 version.)
- Patch for vLLM + FlashAttention4 + torch for GRPO colocated training
- Remove instance ID initialization logic
- [Perf][GDN] Eliminate GPU-CPU synchronization in GDNAttentionMetadataBuilder.build()
- [CORE][V1] fix: alive-but-hung EngineCore not being detected by `/health` endpoint.
- refactor(envs): introduce typed Envs class with lazy __getattr__ and attribute docstrings
- [Observability] Add scheduler preemption metrics
- Docs
- Python not yet supported