Instructions to use hasibzunair/llama-3.2-vision-11b-instruct-no-enc-mm-exr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hasibzunair/llama-3.2-vision-11b-instruct-no-enc-mm-exr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hasibzunair/llama-3.2-vision-11b-instruct-no-enc-mm-exr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: hasibzunair
- License: apache-2.0
- Finetuned from model : unsloth/Llama-3.2-11B-Vision-Instruct-unsloth-bnb-4bit
This mllama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for hasibzunair/llama-3.2-vision-11b-instruct-no-enc-mm-exr
Base model
meta-llama/Llama-3.2-11B-Vision-Instruct