Instructions to use JingyangYi/sft_llama3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JingyangYi/sft_llama3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JingyangYi/sft_llama3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: JingyangYi
- License: apache-2.0
- Finetuned from model : unsloth/Llama-3.2-3B-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for JingyangYi/sft_llama3B
Base model
meta-llama/Llama-3.2-3B-Instruct Finetuned
unsloth/Llama-3.2-3B-Instruct