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]: MTP fails to load dense BF16 MTP head on compressed-tensors pack-quantized checkpoints (no module or parameter named 'fc.weight')
- [Bugfix] Bracket IPv6 hosts in the DP supervisor probe URL
- [Bugfix][Model] Build the Qwen3.5 MTP head unquantized when the checkpoint ships it dense
- [Perf][Model Loader] Fast MoE Tri-Modal Ingestion Engine: Cold NVMe Streaming and Layer-Bounded 3D Bulk DMA
- [Bugfix][Frontend]keep anthropic tool-result images in tool messages
- [Perf][Scheduler] Add risk-aware prefix-cache admission
- [Tracking] Gemma4 AITER QK-norm+RoPE+KVCache fusion + RoPE IR-op migration (ROCm)
- [RFC]: KV cache grouping for hybrid models with speculative drafters
- Harden pynccl allocator JIT build dir: per-user private dir + ownership check
- Speculative-decoding draft model (EAGLE/MTP head) compile cache key flips between two values with byte-identical startup args — shared `VllmConfig` mutated in-place during main-model full-compile startup (v0.27.1; deterministic on 0.29)
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