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]: Crash on using JSON structured output with speculative decoding on guidance backend
- Revert "[MM][CG] Gemma3 Encoder CUDA Graph" (#43591)
- [BugFix] Improve DCP error message with actionable remedy
- Fix plain FP8 MLA KV cache page size
- [Bugfix][KV Offload] Track allocated block IDs when num_external_tokens is 0
- [Bugfix] Track offloading allocations without load tokens
- [Cleanup][Gemma4] Remove tool_parsers/gemma4_utils.py in favor of Transformers v5 chat parsing API
- [Perf][KVConnector][Mooncake]: parallelize sub-batch KV cache loading
- [Usage]: Serving the model opt Quantized W8A8
- [Bugfix][GB10] Fix negative CUDA graph memory estimate on unified-memory GPUs (#44740)
- Docs
- Python not yet supported