minimind tested by Argusic Runner
Attempt 2 of 3 · Runs · Argusic Score 100.0 of 100
all runs of minimindartificial-intelligencelarge-language-model
Session recording
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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).
This summary is drawn from the agent's recorded report for this run. Every figure traces to the log and recording above; nothing here is authored.
Error and fix timeline
No errors were recorded for this run.