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]: whitespace_pattern not doing anything
- [Bug]: KV Cache Quantization not working on v1 (rtx3090) "type fp8e4nv not supported in this architecture"
- [Refactor][MLA]: Lift prefill/decode split into compiled region
- [Kernel] Make moe_forward and moe_forward_shared into inplace ops
- Pad
- [Feature]: Add test verifying CompilationMode.STOCK_TORCH_COMPILE behavior
- [Bug]: RuntimeError: CUDA driver error: invalid device ordinal when symmetric memory (symm_mem) is enabled in multi-GPU vLLM setup with 4H100 PCIe
- [Feature][XPU]: XPU graph support
- Add deepseek amd ci
- [RFC]: Remove redundant multi-modal input preprocessing during disaggregated inference
- Docs
- Python not yet supported