Text Classification
PEFT
Safetensors
English
Japanese
d1a
decision-model
calibration
lora
gemma4
typesafe
system-one
pull-requests
on-device
experimental
Instructions to use JohnP1/d1a-e2b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JohnP1/d1a-e2b-it with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-4-E2B-it") model = PeftModel.from_pretrained(base_model, "JohnP1/d1a-e2b-it") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Card: drop the notes on where D1A is served
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4 days ago
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Card: capabilities table, where each model runs since 10-14; E2B-it's suites measured
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6 days ago
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Card: Enable chat (unmerged build, OpenAI routes, embeddings); capabilities table: chat and embeddings rows
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Card: a capabilities table of every D1A model line (jonpol01/d1a#273)
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8 days ago
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Card: iPhone 17 Pro results (Mieru proof of concept, 2026-10-13)
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D1A-E2B-it v0.6
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initial commit
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