Text Generation
PEFT
Safetensors
English
gemma3_text
lora
adapter
agriculture
agronomy
reasoning
refusal
verified
gemma3
autoscientist
adaption
negative-result
conversational
Eval Results (legacy)
Instructions to use manifesta/adaption_agronomy_calc_problems with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use manifesta/adaption_agronomy_calc_problems with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "manifesta/adaption_agronomy_calc_problems") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Write the model card: 46 against 54, the mechanism from trainer_state.json, corrected base model string, runnable quickstart
Verified signature9d43881 -
Correct base_model_name_or_path to google/gemma-3-4b-it; preserve the exported string as original_base_model_name_or_path
Verified signatured216e04 -
Add 11 files
Verified signatureacea658 -
initial commit
Verified signature39550a0