Instructions to use GarvinBhati/gemma-4-31b-indic-rys with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GarvinBhati/gemma-4-31b-indic-rys with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-31B-it") model = PeftModel.from_pretrained(base_model, "GarvinBhati/gemma-4-31b-indic-rys") - Notebooks
- Google Colab
- Kaggle
File size: 454 Bytes
146bae6 | 1 2 3 4 5 | evaluation_key,milu,indicparam,indicifeval,equal_benchmark_macro,delta_vs_stock,delta_vs_sft
selected_sft,0.7638190954773869,0.44242424242424244,0.6611295681063123,0.6224576353359805,0.011020993082463182,0.0
sft_plus_gated,0.764321608040201,0.44393939393939397,0.6843853820598007,0.6308821280131319,0.019445485759614578,0.008424492677151396
stock_base,0.7587939698492462,0.4575757575757576,0.6179401993355482,0.6114366422535173,0.0,-0.011020993082463182
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