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adityag-india/gemma4-e2b-medical-multiseed

AI model by adityag-india

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10 epochs per seed, 5 seeds by default, medical chat-SFT data (user -> assistant JSONL). Built from gemma4runpoderrorsandfixes.md: every documented failure has a guard that fails before GPU time is spent. --stage all = preflight -> model gate -> smoke test -> all seeds -> aggregate. Re-running the same command resumes: finished seeds are skipped, an interrupted seed continues from its last finished epoch. Single stages: --stage preflight|gate|smoke|full|aggregate. Other flags: --seeds 1 2 3, --epochs N, --lr X, --max-length 1024, --redo, --continue-on-error. Test loss / perplexity / token accuracy on the full test set for best and last adapters; val-loss reload cross-check (must…

adityag-india/gemma4-e2b-medical-multiseed on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-07T07:14:32.690Z

Inside the original model card — Document outline
  1. Gemma 4 E2B - multi-seed QLoRA experiment (RunPod, RTX A6000 48 GB, PyTorch 2.8 / cu128)
  2. Run it
  3. What the gates check (in order)
  4. Training design (trainseed.py)
  5. Evaluation (evaluate.py, separate process per seed)
  6. Choices I made that you should confirm (edit config.py)
  7. Outputs
  8. If something fails
  9. Tests (CPU, no GPU needed): python -m pytest -q tests

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Model overview

adityag-india/gemma4-e2b-medical-multiseed is a task-unspecified model repository published by adityag-india on Hugging Face. A library was not reported.

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Created
2026-11-07T06:37:42.000Z
Last modified
2026-11-07T06:47:50.000Z

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