vllm-ascend
Skill177 starsChanged 8 months agoNo licenceView on GitHub
vLLM Ascend plugin for LLM inference serving on Huawei Ascend NPU. Use for offline batch inference, API server deployment, quantization inference (with msmodelslim quantized models), tensor/pipeline parallelism for distributed serving, and OpenAI-compatible API endpoints. Supports Qwen, DeepSeek, GLM, LLaMA models with Ascend-optimized kernels.
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- AGENTS.mdAGENTS.md
- create-prSkill
- skill-creatorSkill
- gitcode-merge-flowSkill
- github-issue-rcaSkill
- github-issue-summarySkill
- tech-docs-guardSkill
- vllm-daily-pr-issue-trackerSkill
- ai-for-science-ai4s-mainSkill
- ai-for-science-ai4s-profilingSkill
- ascend-avi-vnpuSkill
- ascend-dmiSkill
- ascend-dockerSkill
- npu-docker-launcherSkill
- npu-smiSkill
- remote-npu-testSkill
- remote-server-guideSkill
- torch_npuSkill
- ais-benchSkill
- ascend-migration-analysisSkill
- atc-model-converterSkill
- inferencex-reportSkill
- migration-ascend-torchnpu-skillsSkill
- npu-torchair-inferSkill
- vllm-ascend-serverSkill
- vllm-bench-serveSkill
- wan-ascend-adaptationSkill
- ascendcSkill
- ascend-oppluginSkill
- npu-op-benchmarkSkill
- triton-ascend-migrationSkill
- mindspeed-llm-train-profilerSkill
- mindspeed-mm-train-profilerSkill
- profiling-analysisSkill
- pytorch-profiling-collectionSkill
- training-mfu-calculatorSkill
- hccl-testSkill
- rl-msprobeSkill
- torch-npu-comm-testSkill
- verl-quickstartSkill
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