Instructions to use ngbcoder/flow-webdev-3b-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngbcoder/flow-webdev-3b-adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ngbcoder/flow-webdev-3b-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: ngbcoder
- License: apache-2.0
- Finetuned from model : unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit
This llama model was trained 2x faster with Unsloth
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Model tree for ngbcoder/flow-webdev-3b-adapters
Base model
meta-llama/Llama-3.2-3B-Instruct
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ngbcoder/flow-webdev-3b-adapters", device_map="auto")