vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- fix: DeepSeek-V4 tokenizer pickling error 'mlir_global_dtors' (closes #44949)
- fix(v1): resolve #28498 — [Bug][RL]: Port Conflict
- [Compile] Add aot_eager backend for piecewise compilation
- [RFC]: Heterogeneous TP<->DP parallelism across the P/D disaggregation boundary (MoRIIO)
- fix: resolve vLLM performance and API issues
- [Performance]: Add a model-free microbenchmark for the frontend <-> EngineCore IPC path
- [Frontend] Add explicit video frame index selection
- [Model][DiffusionGemma] Bound sampler buffer memory under serving pressure
- [CPU] Fix segfault in mixed-batch GQA attention scheduling
- [CPU] feat: Add Vedic 4-bit matmul for MLA attention
- Docs
- Python not yet supported