Instructions to use johnsutor/Llama-3-8B-Instruct_model_stock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnsutor/Llama-3-8B-Instruct_model_stock with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("johnsutor/Llama-3-8B-Instruct_model_stock", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Merge Parameters
Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: model_stock Random seed: 42 filter_wise: false
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