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
- [Hybrid KV Cache] [2/N] Support finalized decode checkpoints with hidden-state drafting
- [ROCm][Perf][GLM-5.3-Flash] Enable AITER fused shared experts on gfx942
- [ROCm][Perf] Gather MLA DCP query with AITER all-gather
- [Security] Bound vision RoPE shape caches by bytes
- [Security] Isolate OpenCV video decode in a child process
- [MRV2][Spec Decode] N-gram lookup in front of MTP drafting
- [Docs][KV Events] Document the KV cache events contract
- [Bugfix] Reuse preallocated workspace for FlashInfer CUTLASS MoE
- [ROCm][Perf] ROCm Direct A2A combine kernels for MLA DCP
- [Feature]: Export live EAGLE-3 training data (committed tokens + aux hidden states) for online draft-model adaptation
- Docs
- Python not yet supported