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]: 这次崩溃的直接原因是 TurboQuant 注意力后端与 MTP 推测解码在 vLLM 0.21.0 版本中的兼容性问题,具体表现为工作区(workspace)预留不足,导致引擎在处理第一个请求时触发断言错误
- [RFC]: Changes in vLLM Model Development
- [Bugfix] Avoid HTTP 200/null responses on client disconnect
- [ROCm] Fix ROCm Attention Backend Slection
- [Bugfix][Model Loader] Make `model.load_weights` safe to invoke on already-initialized model
- [KVConnector][P/D][Tests] Add tests for KV transfer completion during shutdown
- [Model][Hardware][AMD][Kernel]: Part 2/2 -> Enable e2e QK Norm + RoPE + KV Cache runtime fusion for Qwen3-30B-A3B on ROCM_ATTN
- [Quantization] Add ModelOpt FP8/NVFP4 weight-only embedding methods
- [Feature][KVConnector] Add optional get_eviction_order hook for policy-driven free-queue ordering
- [Bugfix] WeightsMapper: make orig_to_new_suffix idempotent
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