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
- [Model] MLPSpeculator quantization support
- add awq fused moe method
- [Kernel] Fullgraph and opcheck tests
- [Feature]: Batch inference for `llm.chat()` API
- [Model][VLM] Add LLaVA-Onevision model support
- [bugfix] [AMD] add multi-step advance_step to ROCmFlashAttentionMetadata
- [Usage]: Dose vLLM support embedding api of multimodal llm?
- [Bug]: using Dockerfile to build image got Killed,even when I have 32g of ram
- [Performance]: Add weaker memory fence for custom allreduce
- [Usage]: Collect performance metrics in offline serving
- Docs
- Python not yet supported