minimind tested by Argusic Runner

Attempt 2 of 3 · Runs · Argusic Score 100.0 of 100

all runs of minimindartificial-intelligencelarge-language-model

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What the test found

MiniMind 63.91M-parameter LLM installed in venv with all dependencies, inference works on CPU generating coherent multilingual responses, OpenAI-compatible API server responds 200, and both SFT and pretrain training pipelines run end-to-end with synthetic test data.

All dependencies installed in venv. Model verified with real downloaded pytorch weights (63.91M params). CUDA not available in container; all run on CPU. Training pipeline verified end-to-end with synthetic tiny datasets. API server returns HTTP 200 with valid chat completions.

Argusic installed minimind in 12 minutes and launched it; verification reached Verified running for real. 4 of 4 recorded errors were worked through (see the timeline below).

Runsall runs of minimind

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Error and fix timeline

No errors were recorded for this run.

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