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
- [Usage]: Mistral-Nemo-12B function calls returned in content instead of tool_calls
- [Bug]: Hadamard Transform R4 weight length assertion
- 最新版vllm需要 cuda 12.9 了吗?
- [XPU][3/N] add int4 gemm support for xpu(awq/gptq)
- [Compile] Add autotune_batch_hint config for dynamic shapes
- [Bug]: The content of response from Kimi-K2.5 is empty.
- [Model] Add support for Solar Open
- [Kernel][Helion][1/N] Add Helion kernel for scaled_mm
- [RFC]: Enable reproducible benchmarking in benchmark_serving_multi_turn with API-usage token counts
- [RFC]: Improve Dynamo compile times 5-10x via unsafe assumptions
- Docs
- Python not yet supported