Text Generation
PEFT
English
gemma-2
lora
clinical-nlp
healthcare
hipaa-safe-harbor
open-science
pocketgull
nih-medquad
who-mhgap
Instructions to use philgear/pocketgull-tern-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philgear/pocketgull-tern-edge with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "philgear/pocketgull-tern-edge") - Notebooks
- Google Colab
- Kaggle
feat(model): publish PocketGull Tern (0.5B – 2B) [PocketGull Avian Navigator Tier]
Browse files
README.md
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- who-mhgap
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base_model: google/gemma-2-2b-it
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pipeline_tag: text-generation
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# PocketGull Tern (0.5B – 2B)
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- who-mhgap
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base_model: google/gemma-2-2b-it
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pipeline_tag: text-generation
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widget:
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- text: "Sub-45ms acute triage: 62yo male with sudden crushing retrosternal chest pressure radiating to left jaw, diaphoresis. Return immediate acuity tier and hotline."
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- text: "Explain the difference between systolic and diastolic blood pressure at a 5th-grade reading level using a plumbing metaphor."
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# PocketGull Tern (0.5B – 2B)
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