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singhabhishekkk
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Model Details
Model Provider
singhabhishekkk
Model Tree
google/gemma-4-E4B-it
Input Modalities
Output Modalities
Supported Functionality
| Model | Score |
|---|---|
| gpt-5.4-mini, plain paperless-gpt prompt | 78.33 |
| gpt-5.4-mini, GEPA-optimized prompt | 81.67 |
| Gemma 4 E4B, no fine-tune | 63.33 |
| Gemma 4 E4B, fine-tuned on 140 examples (this adapter) | 86.67 |
Same 60 held-out rows, same seed, same split for every row. The fine-tuned model scores +8.34 over the shipped prompt and +5.00 over the GEPA-optimized teacher. Gemma run 2026-07-12; gpt-5.4-mini runs 2026-07-10. Full method, data prep, notebooks and caveats: apprentice-benchmark, document type task.
LoRA r=16, alpha 16, 3 epochs, lr 2e-4, batch 2 x grad-accum 4, Unsloth 4-bit, Colab GPU. Train/eval split: seed 42, 140/60 from 200 sampled rows, identical split across every model this task is fine-tuned on.
Load with PEFT on top of google/gemma-4-E4B-it, or serve locally with an adapter-capable runtime. Caveat: evaluated on 60 rows for one field only. Re-validate on your paperless-ngx document types before production use.