Instructions to use havinash-ai/6fad3fdb-9ff4-4da9-902c-b4b8a14e8012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/6fad3fdb-9ff4-4da9-902c-b4b8a14e8012 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("princeton-nlp/gemma-2-9b-it-SimPO") model = PeftModel.from_pretrained(base_model, "havinash-ai/6fad3fdb-9ff4-4da9-902c-b4b8a14e8012") - Notebooks
- Google Colab
- Kaggle
6fad3fdb-9ff4-4da9-902c-b4b8a14e8012
This model is a fine-tuned version of princeton-nlp/gemma-2-9b-it-SimPO on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2205
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
- Downloads last month
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Model tree for havinash-ai/6fad3fdb-9ff4-4da9-902c-b4b8a14e8012
Base model
google/gemma-2-9b Finetuned
google/gemma-2-9b-it Finetuned
princeton-nlp/gemma-2-9b-it-SimPO