awesome-llm-services

A list of self-hostable LLM services

Not yet testedsource: GitHubTypeScriptMITcommit 7c3dbd04d0d2

TypeScript, MIT licensed. The project labels itself: ai, awesome, awesome list, docker, llm and self hosted.

awesome-llm-services has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
267
forks
22
open issues
10
watchers
0
size
1 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

aiawesomeawesome-listdockerllmself-hosted

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/awesome-llm-services.svg)](https://argusic.com/subject/awesome-llm-services)

Questions

Does awesome-llm-services run?
awesome-llm-services has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test awesome-llm-services?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for awesome-llm-services?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion