Instructions to use Magneto/lora_model_lamma3.1_7b_4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Magneto/lora_model_lamma3.1_7b_4bit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Magneto/lora_model_lamma3.1_7b_4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Magneto/lora_model_lamma3.1_7b_4bit: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/Magneto/lora_model_lamma3.1_7b_4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://Magneto/lora_model_lamma3.1_7b_4bit/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Magneto/lora_model_lamma3.1_7b_4bit/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.