Instructions to use baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "baby-dev/cbff7aa7-1520-4649-91d8-b4d6613e4768") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: peft
license: gemma
base_model: unsloth/gemma-2-2b-it
tags:
- axolotl
- generated_from_trainer
model-index:
- name: cbff7aa7-1520-4649-91d8-b4d6613e4768
results: []
cbff7aa7-1520-4649-91d8-b4d6613e4768
This model is a fine-tuned version of unsloth/gemma-2-2b-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3529
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