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
- [Bugfix] Reject heterogeneous vocab with local argmax reduction
- [CI] Bump CUTLASS DSL to 4.6.2
- [Bug]: EPLB fails to transport E8M0 expert state
- [ROCm][Kimi-K3] Add opt-in gfx942 MXFP4-to-int4 conversion
- [CI Failure]: PyTorch Fullgraph test_custom_compile_config fails with cudaErrorStreamCaptureInvalidated
- [Perf][Frontend] Optimize DecodeStream priming with a bounded prompt tail
- [Bug]: Structured outputs (response_format/guided_json) crashes the entire engine on the CPU backend — CPUModelRunner inherits GPU-only StructuredOutputsWorker
- [Bug]: FA4 SM100 split-KV kernels fail to compile with `TYPE_UNSTABLE_JOIN` (nvidia-cutlass-dsl 4.6.0 pin) — crashes Kimi-K3 startup during CuTeDSL warmup
- [Bugfix][Model] deepseek-vl2: restore original DeepseekV2Config defaults for omitted language_config fields
- [Tracking][Spec Decode] Adaptive DSpark Bring-Up Tracker
- Docs
- Python not yet supported