Instructions to use adammandic87/9f56a6fa-e298-4cef-b437-ac05ac6d84c0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/9f56a6fa-e298-4cef-b437-ac05ac6d84c0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5") model = PeftModel.from_pretrained(base_model, "adammandic87/9f56a6fa-e298-4cef-b437-ac05ac6d84c0") - Notebooks
- Google Colab
- Kaggle
9f56a6fa-e298-4cef-b437-ac05ac6d84c0
This model is a fine-tuned version of OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1871
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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