Instructions to use lightsource/lora-synth-8b-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lightsource/lora-synth-8b-llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "lightsource/lora-synth-8b-llama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fd35f8fe0726f291a32475979fd8b61a477d19ce96e6285c807da12242d4ec0
- Size of remote file:
- 5.37 kB
- SHA256:
- 9f88ba390a46217d83c73dd958c966ee94db5c233ca6c28cac6a1bdff44ee0c2
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