Instructions to use ChiThomas/gemma-2b-it-broken-fixed-syntax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChiThomas/gemma-2b-it-broken-fixed-syntax with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChiThomas/gemma-2b-it-broken-fixed-syntax", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
This is a version of gemma-2b-it which I fine-tuned as part of my AI Safety Fundamentals final project.
It has been trained to end every output with \<start_of_turn\> model\n, which makes it continue to respond
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Fine-tuned by Kai Williams off Google's Gemma-2b-it
- Model type: Decoder-only transformer
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: Gemma-2b-t
Model Sources [optional]
- Repository: https://github.com/ChiWilliams/Fixed-syntax-fine-tuning
- Blog post: https://liquidbrain.net/blog/measuring-jailbreaks-and-adversarial-robustness-on-a-toy-problem-fixed-syntax/
Uses
I would not recommend direct usage of this model. If you want a light-weight model, use the original Gemma-2b-it instead.
Inference Providers NEW
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