model-can-it-fit SKILL.md skillA
model-can-it-fit 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/model-can-it-fit@git:20260903.b1ad034Pins git:20260903.b1ad034 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- intel/skills
- Path
skills/model-can-it-fit/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260903.b1ad034, committed Sep 3, 2026
- Size
- 8,945 bytes
- Repository stars
- 29
- License
- Apache-2.0
Estimate whether a Hugging Face decoder-only LLM, MoE, or VLM fits in Intel GPU VRAM for a quantization, context length, concurrency, runtime, and tensor-parallel setting. Use for memory-fit or max-model-len planning before launch. Reports weights, KV cache, activations, framework overhead, and first mitigation. Not for diffusion. Memory-only — does NOT predict throughput, tokens/sec, latency, or runtime config; route those to bench/deploy/recommend skills.
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
<!-- Modified by intel/skills: upstream repository-relative paths rewritten to resolve where this skill installs. Provenance: .source.json --> # model-can-it-fit Use this for a pre-launch VRAM calculator: whether a Hugging Face model can fit on an Intel GPU at a requested quantization, context length, concurrency, runtime, and tensor-parallel degree. Input: HF model id, quantization, context length, concurrency, target VRAM. Output: a per-component breakdown and a verdict. The skill runs a CPU-only calculator. It does not need to deploy the model on an Intel GPU, but it MUST check the Intel GPU VRAM memory space and may need Hub access unless the user provides a local `config.json` or `params.json`. ## Use And Route Use this skill when the user asks: - whether a model fits on an Intel GPU or XPU - what max context or concurrency is memory-feasible - how VRAM splits across weights, KV cache, activations, and runtime - whether a vLLM/SGLang launch is likely to OOM before trying it Use another skill instead when the user asks for: - measured speed, TTFT, TPOT, or tokens/sec: use a benchmark skill …
Read the whole file at its exact version.
How to install
mdr add intel/skills/model-can-it-fit@sha256:1526b97d1fc9711cThe line at the top of this page pins the label git:20260903.b1ad034, 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_i2l2sxogbz5heyjy)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 3, 2026.
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 (8945 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_i2l2sxogbz5heyjy GET https://markdownregistry.com/api/v1/resolve?ref=intel/skills/model-can-it-fit GET https://markdownregistry.com/api/v1/blob/1526b97d1fc9711c6bf0dc5e0c2d81e94c6d56b9f9fe6fa62486b349c762a5af
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.