{"slug":"mkurman-nanogpt","source_name":"mkurman/nanogpt","name":"Mkurman/Nanogpt","description":"Minimal GPT pretraining and fine-tuning (nanoGPT). The simplest, fastest repository for training medium-sized GPTs with ~300-line model.py and ~300-line train.py. Reproduces GPT-2 (124M) on OpenWebText. Supports DDP multi-GPU/multi-node, character-level training, weight loading from HuggingFace GPT-2 checkpoints, and simple finetuning. Note: superseded by nanochat for new projects; this repo remains valuable as a reference implementation and learning tool.","version":1,"lift":{"pass_rate_delta_pts":8.7,"pass_rate_pct":100,"total_cases":23,"passed_cases":23,"tokens_delta_pct":31.8,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-21T10:09:06.005737+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":8.7,"with_pass_pct":100,"without_pass_pct":91.3,"tokens_delta_pct":31.8,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-21T10:09:06.005737+00:00","run_id":"807710f4-ef31-4c17-acc9-a8d54466be55","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT license","install_count":0,"manifest_hash":"eea564ac4bb708976d0e1022dcddd1f966e348475923d0be2f7de0a05ecb02e9","raw_url":"https://app.decimal.ai/s/mkurman-nanogpt/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mkurman-nanogpt"}