Instructions to use bilkultheek/ColdLLamaLite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bilkultheek/ColdLLamaLite with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ahxt/LiteLlama-460M-1T") model = PeftModel.from_pretrained(base_model, "bilkultheek/ColdLLamaLite") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bdaba45c5da3df9d7f381d1c2b4ec862020d8c2a942926e0b3fba7cbeedc5ac
- Size of remote file:
- 19.7 MB
- SHA256:
- f262b0a8f6b033f3476c8ffd7c34eafae304b340afb227f5c42c5f5bcdf0b97d
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