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
- [Doc] update docs for nightly benchmarks
- [Platform] Do not raise error if _Backend is not found
- [Frontend][Core][Enhacement] Add S3 and remote source support for LoRA adapters
- Explain where the engine args go when using Docker
- Misc: allow to use proxy in `HTTPConnection`
- [torch.compile] disable logging when cache is disabled
- [Bug]: Pipeline parallel with Ray ADAG doesnot work
- [Bugfix] make moe_align_block_size compliable with cuda graph
- [Model]: Support internlm3
- [Bug]: ValidationError when loading fp8-dynamic model with empty "sparsity_config"
- Docs
- Python not yet supported