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
- [Performance] Add manual GC control to reduce GPU scheduling latency
- [Feature]: Add Support for thinking_budget for Qwen3 Models
- [RFC]: Optimize embedding task
- [Bug]: This flash attention build does not support tanh softcapping: gemma-2-2b-it on H100 NVL
- [RFC] Default no plugin loading
- [Qwen3-Next][Perf][Attention] Replace torch.zeros with torch.empty to reduce overhead
- [compile] add sequence parallelism for moe
- [MoE] Alpha MoE integration
- [Feature] Default EPLB num_redundant_experts to minimum valid value
- fixed glm 4.7 tool call and parser
- Docs
- Python not yet supported