Search
Hugging Face · By vllm-project
4 skills found.
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Adapts and debugs Hugging Face or local models to run on vLLM with Ascend NPU, validates them by serving, and delivers the result as one signed commit. | vllm-project/ | 2.9k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Integrate a new text-to-speech model into vLLM-Omni from HuggingFace reference implementation through production-ready serving with streaming and CUDA graph acceleration. | vllm-project/ | 7.1k | — | ~8.7k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. | vllm-project/ | 102 | — | ~2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 4 | Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server. | vllm-project/ | 102 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | 6 mo ago |