Vllm Xpu Run
Serve a Hugging Face safetensors model on an Intel GPU with upstream vLLM-XPU's OpenAI-compatible API. Covers image choice, container launch, the right vllm serve flags (dtype, enforce-eager, model-impl fallback, attention backend, quant + KV-cache pairing), and the transformers-backend fallback for unsupported architectures. Use for /v1/chat/completions or /v1/completions on an Intel GPU. Not for pure PyTorch without a server (use torch-xpu-run), throughput numbers (use vllm-xpu-bench), or NVID
Works with: Claude Code (native)
native: this artifact type is that client's own format
Category: AI & Agents — see all ranked ›
Install (Claude Code):
/plugin marketplace add intel/gpu-ai-skills
/plugin install vllm-xpu-run@intel-model-skillpack- tashan score: 45.0
- Adoption: 1 repos
- Upkeep: 100.0
- Freshness: 99.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 9
- License: Apache-2.0
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source ↗ · plugin:intel/gpu-ai-skills/vllm-xpu-run
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Measured 2026-09-13 · scorer s5 · how · something wrong here?