Instructions to use baby-dev/84a24f2c-7882-45b5-a63f-31e39d085643 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/84a24f2c-7882-45b5-a63f-31e39d085643 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "baby-dev/84a24f2c-7882-45b5-a63f-31e39d085643") - Notebooks
- Google Colab
- Kaggle
84a24f2c-7882-45b5-a63f-31e39d085643
This model is a fine-tuned version of UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3391
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for baby-dev/84a24f2c-7882-45b5-a63f-31e39d085643
Base model
UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2