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| # Training a small LLM from scratch — an operating guide | |
| For the next agent session that has to build, train, publish and evaluate a ~100M-parameter language model | |
| on rented, capped, per-week GPU. It is the distilled version of one real project: 106,194,240 params, | |
| 999,817,216 tokens, 2×Tesla T4 on Kaggle, storage on the Hugging Face Hub, eight academic benchmarks, and a | |
| public report — plus 54 written-up failure records spanning E-001…E-056 that are the actual source of these rules. | |
| Read in order once; then use `06-checklists.md` as the working page. | |
| | File | What it covers | | |
| |---|---| | |
| | `01-before-you-start.md` | The constitution: what to fix in writing, and why memory files are the real state | | |
| | `02-data.md` | Mix design, tokenisation, sharding, the contamination audit, publishing reproducibly | | |
| | `03-preflight.md` | The evidence ladder: free rehearsal → cheap smoke → measurement probe → run | | |
| | `04-the-run.md` | Checkpoints, resume, session sizing, quota arithmetic, what to do when it breaks | | |
| | `05-publish-and-evaluate.md` | Model card, clean-room load, benchmark protocol, honest reporting | | |
| | `06-checklists.md` | Copy-paste gates for each phase, and the recurring failure patterns | | |
| | `07-platform-notes.md` | Kaggle and HF mechanics measured rather than believed, with the numbers | | |
| ## The five sentences that matter most | |
| 1. **Every claim about a tool is a hypothesis until you have executed it** — the expensive mistakes in this | |
| project were all "documented behaviour" that the installed version did not have. | |
| 2. **Verify bytes, never listings.** A commit that returned, a file that is listed, and bytes that | |
| download are three different facts, and only the third authorises deleting your copy. | |
| 3. **Design for interruption; it is not an exception.** Every interval must end on a verified, pointed-at | |
| checkpoint on shared storage, and the only resume test that counts deletes the local disk first. | |
| 4. **Free compute is a strategy, not a fallback.** A CPU rehearsal that costs nine minutes buys back a | |
| five-hour session; run everything that does not need the accelerator there, forever. | |
| 5. **Write the report before the results exist.** Frozen choices, pre-registered targets and a contamination | |
| statement composed after you can see the scores are a different kind of document. | |
| ## What "done" means | |
| A public model repo that a stranger loads with `from_pretrained` from an empty cache; a dataset repo whose | |
| manifest, hashes and exclusion masks let someone rebuild that exact mix; a benchmark table where every row | |
| names its metric, its shot count and its split, and can be re-run from published config; and a report that | |
| says what failed. Model quality is not the deliverable — a trustworthy number is. | |