LLaMA

✓ verified, sync 2026-08-20

10 checks on record, most recent 2026-10-30 (responded).

Community scorenot yet rated

First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Address confidence: low. The URL on file may not be LLaMA's own domain (for example a marketplace or parked host). The dates below describe checks against that URL; the link between that URL and LLaMA itself is not confirmed.

Most recent check 2026-10-30

Result: responded.

Checked on 10 distinct dates, since 2026-08-28. Checked roughly every 7 nights on this listing's own record.

2026-10-302026-10-242026-10-182026-10-122026-09-302026-09-292026-09-242026-09-182026-08-312026-08-28

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

No approved price events on record

No approved price change is on record; a change may still be pending review.

What it does.

The vendor's own description, unedited, not our claim.

LLaMA is an open source Artificial Intelligence (AI) model designed with flexibility and versatility in mind. Developed to provide users with the capability to fine-tune its underlying algorithms to better align with their requirements, this tool stands out due to its customizability. Additionally, it is equipped with distillation functionality that enables users to simplify complex AI models into more manageably sized forms, thereby improving efficiency and performance.Available in different variants, it offers users a range of functionalities in terms of capacity and complexity depending on their specific needs and system capabilities. Regardless of the version chosen, it's devised to be portable and easily deployable across various environments, ensuring seamless integration with existing systems.As an open-source tool, LLaMA promotes transparency and extends the opportunity for AI enthusiasts, professionals, and organizations to explore, modify, and improve its algorithms. This openness fosters a collaborative approach towards the development of AI tools, contributing to the overall advancement and resourcefulness in the AI field. Overall, LLaMA proves to be an adaptable and scalable solution for those seeking to incorporate customized AI models into their systems, with the added benefits of distillation and portability presented in an open-source framework.

registry ID ndock:tool:llama