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
- [Spec Decode][Quantization] fallback quant_config to None for unquantized MTP draft model
- [bug fix] not override "partial_rotary_factor" if it is in model config
- [P/D] [MooncakeConnector] layerwise push prototype
- [Bugfix] Fix bogus "Loading weights took" time in DefaultModelLoader
- add integration of xqa and fmha through flashinfer
- [ci] Use fresh cache directory for compile only per test case.
- [Bugfix] Add early detection for CUDA < 13.0 on sm_103+ GPUs (GB300)
- [Bugfix] Fix SamplingParams bad_words tokenizer conversion for space-prefixed tokens
- [Bugfix] Allow tensorizer load format for S3/GCS/Azure object storage
- [Feature] Add OCI Image Annotations to container images
- Docs
- Python not yet supported