Instructions to use saucam/llama-airo-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use saucam/llama-airo-3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "saucam/llama-airo-3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from saucam/llama-airo-3: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/saucam/llama-airo-3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://saucam/llama-airo-3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/saucam/llama-airo-3/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- 6aa5337e1e12773f887d43472386ea2a6707ba5d1c32fe590a313892f8d77a08
- Size of remote file:
- 168 MB
- SHA256:
- e735572408196d97ea490f40c217e61b1409026d8d92a12609aa4bd3fa1dac9e
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