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
- [KV Offload] Support partial secondary-tier load results
- [RFC]: Deprecate the FlexAttention backend
- [Model] Add Mage-VL multimodal model support
- [ROCm][Kimi-K3] Enable gfx942 serving
- [Bugfix][Kimi K3] Stop streaming hold-back from leaking template markers
- [EPD] Remove duplicate image preprocessing in EPD and enable preprocess on GPU
- [Bugfix] Fail fast with a clear error when CPU offload region exceeds available space
- [Security] Fix chat template resource-exhaustion DoS (GHSA-4hhp-h66f-…
- [Cohere][Spec Decode] Add CohereEagleProposer to support multi layer eagle drafts
- [Bug]: EAGLE embed_tokens sharing decision is made per-rank without cross-rank agreement — TP ranks build different drafters (rank0 keeps drafter embeddings, rank1 ties target's); acceptance collapses to ~0.45/draft
- Docs
- Python not yet supported