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
- [Feature] add StreamableResponsesParser and token usage counting for ParsableContext
- [V1][Hybrid] GatedDeltaNet Automatic Prefix Caching (`all`-mode)
- [Kernel] Add Sonic MoE integration for Hopper GPUs
- LoRA Per Request Loading Pipelining Support
- Milestone 1 of Internal Process-level Fault Tolerance (RFC #27866)
- [Core] WhisperEncoder support `torch.compile`
- [Usage]: How to use DeepSeek-R1-0528-Qwen3-8B with function call
- [BUGFIX] Adjust kv block sizes
- [RFC]: KV cache offloading
- [Model] Add video input support for transformers modeling backend
- Docs
- Python not yet supported