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]: Realtime transcription completes but server never sends transcription.done when final commit is received during slow streaming
- [Feature]: Add tool_choice="required" support for GPT-OSS Harmony models
- [RFC]: Sparse attention KV cache offloading to support longer sequence length
- [Installation]: vllm as submodule results in unbuildable docker images due to setuptools-scm and docker context
- [Bug] [torch 2.10] test_routed_input_transform_inside_vs_outside failing
- [RFC]: Add an option to use NCCL-based symmetric memory when pytorch symmetric memory is applied
- [BugFix][kv_offload] Fix offloading decodes with async scheduling
- [Usage]: RuntimeError: CUDA error: invalid device ordinal
- [Feature]: Support setting tool-call-parser to auto
- [Usage]: AssertionError: collective_rpc should not be called on follower node
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