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]:When running inference in the 0.5.0 environment, an error occurs. For the same batch of 5000 data points, with the prefix enabled, after running continuously five times, an error is reported.
- [CI/Build] custom build backend and dynamic build dependencies
- [Tracking issue] [Help wanted]: Multi-step scheduling follow-ups
- [do-not-merge] Test PR for loading models
- [Bug]: When I use the `python -m vllm.entrypoints.openai.api_server` command, cannot use multiple gpus
- [Usage]: vllm serve
- [Usage]: API KEY authentication
- [Bug]: online fp8 quantization with jais model got assert error due to cutlass_scaled_mm()
- [Feature]: Automatic Prefix Caching and Truncating. Possibilty for Context Shifting.
- [Prototype] Create and use custom NCCL group for aDAG
- Docs
- Python not yet supported