00. Evidence Map
Repository inspected
| Item |
Value |
| Remote |
https://github.com/Hari31416/qwen-grug-finetune (public) |
| Local checkout |
repos/qwen-grug-finetune |
| Inspected on |
2026-07-09 |
| HEAD |
0f12bc67d9f7287f2041834d51fa8e3e3bb213ed |
Areas inspected
| Area |
Paths |
Depth |
| Docs |
README.md, STORY.md, SUMMARY.md, PLAN.md, report/REPORT.md |
Full / deep skim |
| Config |
config.yaml, lora_config.yaml, style_guide.md, .env.example |
Full |
| Pipeline |
scripts/*.py |
Entrypoints + key logic skim |
| Reports |
report/, report/it-1/, report/it-2/ |
Metrics + plots present |
| Visualizer |
visualize/src/App.tsx, hooks, package.json |
Deep skim |
| CI |
.github/workflows/deploy-visualizer.yml |
Full |
| Manifests |
pyproject.toml, uv.lock, Makefile |
Full |
Intentionally skipped
- Gitignored
data/, adapters/, results/ (not in clone)
- Live MLX training or GSM8K eval runs
- Full line-by-line
PLAN.md / NEXT_STEPS.md
- Every visualizer shadcn primitive
Commands run
git clone https://github.com/Hari31416/qwen-grug-finetune.git repos/qwen-grug-finetune
# Targeted reads of README, configs, scripts, report, visualize
Confidence
| Subsystem |
Confidence |
Notes |
| Pipeline design |
High |
Scripts + docs align |
| It-2 regularized metrics |
High |
Committed report/REPORT.md |
| Current default model size |
Medium |
config.yaml = 7B; reports = 1.5B |
| Visualizer behavior |
High |
Client-side loaders read |
| Live train reproducibility |
Low |
Needs HF data + Apple Silicon + API key |
Confirmed / Inferred / Unknown
Confirmed
- mlx-lm LoRA wrapper in
train.py; GSM8K eval in eval.py
- Compression via OpenAI-compatible client +
style_guide.md
- Regularization knobs in
format_data.py
- HF sync script and Pages deploy for visualizer
Inferred
- 7B config change is start of next scaling experiment (
SUMMARY.md / recent commit message)
Unknown
- Exact compressor model used in published runs
- Whether ARC eval was ever implemented outside current
eval.py