vllm-xpu-run SKILL.md skillA
vllm-xpu-run from intel/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add intel/skills/vllm-xpu-run@git:20261105.4f01019Pins git:20261105.4f01019 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- intel/skills
- Path
skills/vllm-xpu-run/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261105.4f01019, committed Nov 5, 2026
- First version recorded
- Sep 3, 2026
- Size
- 11,619 bytes
- Repository stars
- 29
- License
- Apache-2.0
Serve a Hugging Face safetensors model on an Intel GPU with upstream vLLM-XPU's OpenAI-compatible API, or check whether a model or architecture is currently documented on XPU. Covers live support lookup, image choice, container launch, known serve-flag requirements, model-impl fallback, and attention/quant compatibility. Use to launch /v1/chat/completions or /v1/completions, troubleshoot a launch, or check model support. Not for choosing the best quantization, KV dtype, DP/TP layout, context…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# vllm-xpu-run Use the official upstream `vllm/vllm-openai-xpu:latest` image. Upstream vLLM has a first-class XPU backend. The CLI is identical to the CUDA build (`vllm serve <model>`); device is detected from `torch.xpu.is_available()`. There is no `--device xpu` flag. The official image already sets `ENTRYPOINT ["vllm", "serve"]`. Pass the model id and serve flags directly after the image name. Do not append another `vllm serve`: that produces `vllm serve vllm serve <model>` and the container exits with code 2. ## Current supported models and architectures When the user asks which models vLLM supports on Intel XPU, fetch the current upstream page at request time: <https://docs.vllm.ai/en/stable/models/hardware_supported_models/xpu/> Do not answer from memory and do not copy a static model list into this skill. Report both the explicitly listed **Model** rows and the **Architecture** column, because the recommended model table is not an exhaustive checkpoint allowlist. For a specific unlisted Hugging Face model, read its current `config.json` and compare every value in `architectures` with the live page's Architecture column. Report the evidence precisely: …
Read the whole file at its exact version.
How to install
mdr add intel/skills/vllm-xpu-run@sha256:df16c3ce7bff9a15The line at the top of this page pins the label git:20261105.4f01019, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_oeazcpuokfhvdrzw)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Sep 3, 2026 and Nov 5, 2026, about one every 32 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261105.4f01019 latest | 2026-11-05 | 4f01019 | 11,619 B | A | view · diff |
| git:20260924.04b65aa | 2026-09-24 | 04b65aa | 11,133 B | A | view · diff |
| git:20260903.b1ad034 | 2026-09-03 | b1ad034 | 9,282 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11619 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
intel/skills · 29 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oeazcpuokfhvdrzw GET https://markdownregistry.com/api/v1/resolve?ref=intel/skills/vllm-xpu-run GET https://markdownregistry.com/api/v1/blob/df16c3ce7bff9a15899559ffb45bbad5019402251a550ed2d27f400ab479b310
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.