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
- [Feature]: Ensure output consistency when using LoRA with Eagle3 Speculative Decoding
- [R1] SiLU Performance Improvements
- [Usage]: How to release KVCache?
- [CI Failure]: vllm/tests/compile/test_basic_correctness.py::test_compile_correctness[test_setting5]
- [Usage]: about curl http://ip:8000/metrics
- [Bug]: [OpenAI server][Transcriptions] M4A uploads fail while MP3 succeeds (Whisper)
- [Bug]: Inconsistent Results with Seed Setting in MambaMixer2
- [Performance]: QuantFP8 `forward_native()` is on par or slower than `forward_cuda()` on a B200 GPU
- [Bug]: Undefined symbol cutlass_moe_mm_sm100 on SM120 CUDA builds (macro enabled, grouped_mm_c3x_sm100.cu not compiled)
- [Feature]: Add new stats metrics for available_kv_cache_memory
- Docs
- Python not yet supported