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]: Qwen streaming loses tool calls when text grammar permits ordinary-token delimiters
- [Attention][Model] FP8 KV cache for Triton DiffKV and MiMo-V2.6-Flash
- [Bugfix][Quantization] Warn when DeepGEMM requantizes fp32 block scales to UE8M0
- [Docs] Feedback for `/en/stable/serving/data_parallel_deployment/` load balancing with respect to vllm-router
- [ROCm][Perf][GLM-5.3-Flash] Add AITER topk backend for decodes
- [KV Offload] Expose OffloadingManager.lock()/unlock() and service the tiering control plane off the scheduler thread
- [ROCm][Perf][GLM-5.3-Flash] Stride-aware decode KDA
- [Bugfix] Don't drop the rest of the allocator config when toggling expandable segments
- [Perf][Model Loader] Skip checkpoint tensors a model does not load before reading them
- [Frontend] Accept the model path that /v1/models publishes
- Docs
- Python not yet supported