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
- [Responses API] Fix ParsableContext: defer parsing to end of generation
- [Responses API] Add ToolChoiceRequiredLogitsProcessor for thinking models
- Fix: preserve streaming logprobs
- [Bugfix] Respect VLLM_WEIGHT_OFFLOADING_DISABLE_PIN_MEMORY in prefetch offloader
- [NIXL][Mamba][3/N] Heterogeneous TP: 3-read conv state transfer
- [HMA] [KVEvent] Add evicted groups field to BlockRemoved KV event
- [Bug]: cudaErrorIllegalAddress crash when enabling `--performance-mode throughput` for zai-org/GLM-4.7-FP8 under load
- [Bugfix] Fix engine crash when structured output grammar compilation fails with auto backend
- [Feature] Feat(structured-outputs): expose xgrammar bitmask backend selection via platform interface
- [Bugfix] Zero-init ROCm MLA attention output buffers for graph padding
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