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
- [Bug]: CPU KV offload (OffloadingConnector) crashes on DeepSeek-V4 MLA — flat int8 layout assumption vs padded multi-group uint8 cache
- [KV Connector] Guard align_to_block_size and empty prompt_token_ids in ExampleConnector
- Unsupported tool_choice in Responses API (Harmony/gpt-oss) returns HTTP 501, should be 4xx
- [BugFix][ROCM] DFlash2 fix sliding-window prefix attention NaNs
- [Bugfix][Model] Gemma4 MM: fall back gracefully when torch.accelerator has no device (fixes TPU/JAX vision crash)
- [Test] Add a structured-outputs x tool-calling gate
- [Bugfix][Tool Parser] Fix Hermes streaming args (brace-match) + spec-decode x tool-calling gate
- [WIP][PCP] Dispatch CUDA graphs by rank-local token count
- [Bugfix] Make speculative-decode logprob test tie-aware
- [Bugfix] Handle excluded lm_head re-tying and unavailable cast weights
- Docs
- Python not yet supported