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
- [Tiered-Offloading][Performance] : Lazy CPU block allocation for FS tier
- [Bug]: Paused streaming sessions deadlock the scheduler when the KV cache is full
- [Bugfix] Fix stale startup plan reusing 16.15 GiB KV on a 7.71 GiB GPU budget
- [Metrics][Frontend] Count requests that fail during input processing
- [Metrics][Frontend] Count requests that fail mid-stream
- [Metrics][Frontend] Count non-streaming requests that fail during generation
- [Docs] Fix outdated model forward/execute time section in metrics design doc
- [Bug]: Nomic pooling uses default RoPE despite rotary_scaling_factor=2
- [CI/Build] Enable block FP8 quantization tests on NVIDIA SM89 (Ada)
- [Bugfix] Use one stage in Triton MLA decode on GPUs with <128 KiB shared memory
- Docs
- Python not yet supported