Policy
Editorial policy
How listings are researched, what we verify, how AI assistance is used, and how corrections are handled.
Last updated: 31 August 2026
This page explains how content on alllocalaimodels.com is researched, written, reviewed, corrected, and monetised. It applies to every model, tool, hardware, guide, comparison, and blog page on the site.
1. What we publish
Every page exists to help someone make a concrete decision: which model to download, which runner to install, which GPU to buy. We do not publish pages that exist only to occupy a search phrase. A page that cannot say something specific and useful about its subject does not get published.
2. Sourcing
Factual claims are grounded in primary sources: official model cards and configuration files, project documentation and release notes, manufacturer specification sheets, and published evaluation results. Where a claim comes from a third party, the page links to it so you can check it yourself.
Numbers that we compute — VRAM by quantization, key-value cache size, fit against a specific card — are derived from a documented engine, not copied from other sites. The inputs to that engine (parameter count, layers, hidden size, attention head counts) come from published configs. When an input is missing, the page shows the value as unknown instead of substituting an estimate.
3. Use of AI assistance
Parts of this site are drafted with the help of large language models, then checked against the structured data we already hold about each model, tool, and GPU. This is disclosed openly rather than hidden.
The rules we apply to that assistance:
- AI is used for drafting and structuring, never as an authority on facts. Specifications are taken from the database and from primary sources, not from model output.
- No page is published without passing an automated quality review that checks length, structure, factual grounding against our own data, and the absence of filler phrasing.
- Benchmark numbers, license names, and hardware specs are never accepted from a generated draft; they are inserted from verified fields.
- Pages that fail review are held back rather than published thin. An empty or half-written page is worse than no page.
The intent matches Google's guidance on AI-generated content: how a page was produced matters less than whether it is helpful, accurate, and original. We optimise for the reader, and the review process exists to enforce that.
4. Review and updates
Listings are re-checked when their upstream source changes — a new release, a license revision, a specification correction. High-traffic pages are reviewed on a rolling schedule. Each page shows when it was last updated so you can judge how fresh the information is.
5. Corrections
If we get something wrong, we fix it and, where the error was material, we note the correction on the page. Report errors to info@alllocalaimodels.com or through the contact form with the page URL and a source. Corrections are prioritised above new content.
6. Independence and advertising
Rankings, scores, and comparisons are not for sale. No vendor, manufacturer, or model publisher can pay for a listing, a higher position, or a favourable score. Advertising is served in clearly delineated slots, is labelled as advertising, and is never woven into editorial sentences. Advertisers have no advance access to, or influence over, editorial content.
If a page ever contains an affiliate or referral link, it will be disclosed in that page's text at the point of the link. We do not add affiliate links retroactively to existing content.
7. Conflicts of interest
Contributors disclose any commercial relationship with a product they write about. Where a genuine conflict exists, that contributor does not write or review the affected page.
8. Reader privacy
Editorial decisions are not driven by individual reader tracking. See the privacy policy for exactly what is collected and by whom.