Instructions to use Elcaida/lemmecry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elcaida/lemmecry with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elcaida/lemmecry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: Elcaida
- License: apache-2.0
- Finetuned from model : unsloth/Llama-3.1-Storm-8B-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Elcaida/lemmecry
Base model
meta-llama/Llama-3.1-8B Quantized
unsloth/Llama-3.1-Storm-8B-bnb-4bit
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elcaida/lemmecry", device_map="auto")