Instructions to use llama-duo/llama3-3b-coding-gpt4o-100k2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llama-duo/llama3-3b-coding-gpt4o-100k2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "llama-duo/llama3-3b-coding-gpt4o-100k2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 557c63dd952ab8907ad4a5b2d259ee17d5b7328dd841912c5e2e03f89322212e
- Size of remote file:
- 17.2 MB
- SHA256:
- 9d20d6269ae0cc1956acf3b97d290486670787052089ce415eadeac76afb0dea
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