Instructions to use FiLuh/gemma_lora_gemma2-9b-FT-val with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiLuh/gemma_lora_gemma2-9b-FT-val with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FiLuh/gemma_lora_gemma2-9b-FT-val", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: FiLuh
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2-9b-it-bnb-4bit
This gemma2 model was trained 2x faster with Unsloth
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Model tree for FiLuh/gemma_lora_gemma2-9b-FT-val
Base model
google/gemma-2-9b Finetuned
google/gemma-2-9b-it Quantized
unsloth/gemma-2-9b-it-bnb-4bit