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
- [Rust Frontend] Add error context in tool parser failures
- [GLM5.2 Perf] Replace MOE all-reduce with reduce-scatter, 3.1%~3.2 E2E Throughput improvement
- [WIP] Enable gfx1250 ROCm architecture
- [Bugfix][CUDA] Treat QUTLASS extension as optional
- [DO NOT LAND] Prototype for Helion linear backend
- [DBO] Disallow DBO in multinode deployments when using the DeepEP High Throughput all2all backend.
- [ROCm][CI] Cache Rust builds by source inputs
- Enable asymmetric (zero_point) quant for Humming kernel
- [CI Flaky test]: Flaky batch invariant test with FLEX_ATTENTION
- [Core] Skip building unused per-step scheduler-output fields
- Docs
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