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 Transfer] Enable HMA by default for connectors that support it
- warmup: skip deep_gemm warmup when DeepGEMM is not available
- [Bugfix] Fix circular import errors caused by lazy loading in vllm/__init__.py
- [Core] Add support for `traverse_draft_trees` for structured outputs + specdec
- [Bugfix] Fix EPLB expert mapping for DeepSeekV2 and AXK1
- Gemma4 KV-projection optimization: Remove redundant V projection on k_eq_v layers
- [kv_offload] Implement `reset_cache()` for the offloading connector
- [Qwen3.5] Add FlashInfer GDN decode backend
- Add objectstore as a secondary tier to multi-tier kv cache offloading
- docs: document NIXL KV connector metrics aggregation semantics
- Docs
- Python not yet supported