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
- [Bugfix][Core] Name the parameter and shapes on weight shape mismatch
- [Performance] MooncakeConnector emits one RDMA descriptor per (layer, block) — but with the unified paged KV layout a block's layers are contiguous; page-level descriptors give up to 19x faster PD transfers
- [Bug]: `bfloat16` Mamba cache dtype crashes `selective_scan_fwd` on NVIDIA L40S
- [Usage]: performance degradation 0.26 vs 0.27 for Qwen3.5 122B A10 on 4xrtx 3090
- [Bug]: extract_hidden_states overestimates DeepSeek-V4 KV cache memory
- [Bugfix][NIXL] Fix PUSH heartbeat failing to renew KV leases
- [Bug]: Kimi K3 tool calls returned empty tool calls when the model omits the think transition marker
- [Bugfix][MoRIIO] Prevent remote KV reload after decoder preemption
- [Perf][Spec Decode] Reuse DFlash context RoPE cache dtype
- [Bug]: finish_reason="tool_calls" is returned with an empty tool_calls array when tool_choice="required" produces no call
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