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
- [Misc]: Create ProfileConfig for Profiling
- [Bug]: Installation with XPU fail's with Dockerfile and while building from sourcefile
- [Bug]: Issue when benchmarking the dynamically served LoRA adapter
- [Bug]: INTEL GPU ARC 770 import vllm error
- [Bug]: Running Llama-3.1-405B on AMD MI300X with FP8 quantization fails
- [Misc]: RuntimeError: CUDA error: invalid configuration argument
- [Doc] update the debugging document to add more explanation on `gpu_memory_utilization` and CUDA OOM issues
- [Feature]: Quantisation Support with CPU Backend
- [Bugfix] Validate SamplingParam n is an int
- [Bug]: Mistral file names are hardcoded in vllm, making fine tunes tough to use
- Docs
- Python not yet supported