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
- [Kernels] Move shared/fused expert sum and final reduce into FusedMoE layer
- [Feature]: Could support moondream vlm model?
- [Bug]: The maximum model length calculation should also take into account the kv-cache-dtype
- [Bug]: Issue downloading model from a local HF repository in Jfrog Artifactory
- [Usage]: NCCL ERROR
- [Bug]: MAGMA and LAPACK support for pytorch missing for rocm/vllm images
- Fix LogprobsLists dimension comments to clarify context-dependent usage
- [Bug]: input thread may die silently
- [Feature][V1][P/D]: Support P/D num_cached_tokens in response usage
- fix(benchmark): Prevent OOV error for small tokenizers in latency test
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