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][RL] Load DeepSeek V4 attention sinks through weight_loader
- [Bugfix][RL] Load DeepSeek V4.1 attention sinks through weight_loader
- [Bugfix][RL] Load HY-V4 learnable sinks through weight_loader
- [Bugfix][RL] Load MiMo-V2 attention sink bias through weight_loader
- [Bugfix][RL] Load GPT-OSS attention sinks through weight_loader in all quant paths
- [Test][RL] Guard against direct checkpoint attention-sink writes
- [Bugfix][KVConnector] Fix MoRI-IO WRITE-mode requests stranded in WAITING_FOR_REMOTE_KVS
- [Bug]: Mamba-hybrid models cannot start with speculative decoding. Mamba page padding is planned without the speculative widening
- [ROCm] Add native HIP RDNA3/RDNA4 custom all-reduce backend
- [Bug]: `prompt_embeds` + any penalty kills the engine with a device-side assert (`scatter gather kernel index out of bounds`)
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- Python not yet supported