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
- [CI][RL]: add end-to-end Verl+vLLM FSDP PPO test script for GSM8K fine-tuning
- [Bug]: Qwen3-Next-80B-A3B-Instruct-FP8 crashes with CUDA illegal memory access on vLLM 0.11.2 (even with cudagraph_mode=PIECEWISE)
- [Bug]: cannot send two POST to /v1/chat/completions endpoint with identic tool function name with model GPT-OSS-120B
- [Frontend] Improves Anthropic API compatibility
- [PCP] PCP support ray
- Generalize pooling model support with multi-task, multi-layer, multi-label classification that can be pooled from both hidden states and LM head's logits.
- [CI] Speed up fusion tests
- [core] [DO NOT REVIEW] Enabling Zero-Copy Video with PyNvVideoCodec and IPC
- [Frontend] Add `reasoning_effort` and `parallel_tool_calls` to `extra_args` of `SamplingParams`.
- [Core] Optimize top-k + top-p sampling by avoiding full vocabulary sort
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