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
- [KV Connector] Add per-layer canonical KV page mappings for parallelism-agnostic offload
- [KV Connector] Canonical CPU layout for parallelism-agnostic KV offload
- [Bug]: MiniCPM-V-4.6 fails to load in vLLM 0.25.0: qkv_proj is incorrectly mapped to qkqkv_proj
- fix(sampling_params): check top_k type before comparing it to -1
- [Bug]: Local PP Rank0 stalls in legacy non-SPMD Ray AsyncLLMEngine under imbalanced pipeline stages
- Revert "[Bugfix] Guard mixed-dtype allreduce RMSNorm quant fusions" (#48330)
- HybridKVCacheCoordinator: DSpark draft-model KV-cache group's ephemeral content incorrectly vetoes GPU-tier prefix cache reuse
- [Core] Add explicit layer parallel plans
- Support partial fused MoE LoRA adapters
- [XPU] Support MXFP8 gemm/bmm weights for INC DeepSeek V4 model
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