picollm has not been fully verified yet. No recorded run has produced a verdict yet.

How did Argusic test picollm?

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 picollm?

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.

picollm

On-device LLM Inference Powered by X-Bit Quantization

Not yet testedsource: GitHub homepagePythonApache-2.0commit b769979404cf

Python, Apache-2.0 licensed. The project labels itself: compression, efficient inference, gemma, generative ai, language model, language models, large language model and llama.

picollm 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: 318
forks: 27
open issues: 0
watchers: 9
size: 204 MB
created: 2024-04-09
last push: 2026-10-07

Subject data from GitHub, linked at the top of this page, refreshed 2026-10-08. 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)

compression efficient-inference gemma generative-ai language-model language-models large-language-model llama llama2 llama3 llm llm-inference llms mistral mixtral model-compression natural-language-processing quantization self-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/picollm.svg)](https://argusic.com/subject/picollm)

Questions

Does picollm run?: picollm has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test picollm?: 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 picollm?: 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.