Instructions to use debenoist/mistral-7b-instruct-cube-merged_groussard-1_028_16bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debenoist/mistral-7b-instruct-cube-merged_groussard-1_028_16bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("debenoist/mistral-7b-instruct-cube-merged_groussard-1_028_16bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: debenoist
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.3
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for debenoist/mistral-7b-instruct-cube-merged_groussard-1_028_16bit
Base model
unsloth/mistral-7b-instruct-v0.3