minimind tested by Argusic Runner

What the test found

The MiniMind-3 63.91M model runs end-to-end on CPU: CLI inference produces coherent responses, the OpenAI-compatible FastAPI server serves chat completions (streaming and non-streaming) with HTTP 200, and the Streamlit web interface loads successfully on port 8501.

MiniMind LLM: verified end-to-end inference. Downloaded real model minimind-3 (63.91M params) from ModelScope. CLI inference via eval_llm.py generated coherent responses on all 8 built-in test prompts at ~40-65 tok/s on CPU. OpenAI-compatible API server on port 8998 returned HTTP 200 for both streaming and non-streaming chat completions. Streamlit web demo returned HTTP 200 on port 8501. Data pipeline (PretrainDataset, SFTDataset) loads and tokenizes correctly. All trainer/model/dataset modules import cleanly. Training dataset (gongjy/minimind_dataset on ModelScope) returned 404 and HuggingFace repo returned 401, so training from scratch with real data could not be exercised, but the data loading pipeline was verified with synthetic JSONL data.

Argusic installed minimind in 5 minutes and launched it; verification reached Verified running for real. 2 of 2 recorded errors were worked through (see the timeline below).

Runsall runs of minimind

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.