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
- [XPU] Prefer MXFP8 MoE XPU backend; forward softcap/ALIBI
- [Bug]: [MTP] ValueError when loading zai-org/GLM-OCR with MTP speculative decoding (model.layers.16.mtp_block uninitialized)
- [Feature][Frontend] Make strict tool calling an explicit override
- [Bug]: Tiered KV offload promotes every waiting request (which fills primary DRAM pool)
- [Linear] [Kernel] add block-wise scaled_mm
- [1/N] Unify multiple-path encoder cuda graph support
- [Spec Decode] Add top-k DSpark Markov projection
- bugfix: fp8 MLA with Marlin kernels
- Resolve revision to commit_hash once per model load, via huggingface_hub's `resolve_revision`
- [Bug]: Cross-node Pipeline Parallelism (PP) fails with "invalid device ordinal" at PyNccl warmup on ROCm (AMD RDNA4 / R9700), reproducible on first inference even after context-corruption workaround
- Docs
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