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
- [vLLM IR] port activation ops (fatrelu_and_mul, relu2, gelu_and_mul_sparse, swigluoai_and_mul)
- [Bugfix] Fix collect_env.py crash on non-Linux platforms due to unconditional assert
- Fix DFlash first prefill lookahead allocation
- [Bug]: Eagle 2/3 acceptance length regression over time
- qwen2.5-omni: offload multimodal features to CPU after GPU processing
- [Core][Model] Add GDN (Qwen3.5) support to NIXL P/D disaggregation
- [Bugfix] Surface KV cache load errors in OpenAI responses
- [Bugfix][Model] Remove 30s audio cap in Qwen3-ASR dummy inputs builder
- [Cache] Opt-in: stop caching KV blocks after thinking start tokens
- [Core] Prioritize preempted requests in v1 Scheduler Priority Queue
- Docs
- Python not yet supported