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
- args.hf_split is overriden even when set causing some dataset to not be actually supported
- [Bug]: Speculative Decoding Issue with VLLM_ENABLE_V1_MULTIPROCESSING=0
- [Feature]: 请问该模型支持微调吗?
- [Bug]: When spec_tokens count is greater than 1, the adaptation of cuda_graph_sizes causes the decoding process to fall back to eager mode.
- [Bug]: When I run qwen3-vl-30b-a3b-fp8, it only generates part of the content
- [Bug]: SM120 int8 unsupport
- [Feature]: Support usage of server_url as a tool parameter to dynamically connect to MCP servers
- [Feature]: Support for custom node order of pipeline stages.
- [Bug]: gptoss calls built-in tool when no tools are given
- [Bug]: Deepseek3.2 exp awq seems to not work on new vllm
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- Python not yet supported