Image-Text-to-Text
MLX
Safetensors
zaya1_vl
zaya
zaya1-vl
vision-language
mixture-of-experts
hybrid-attention
cca-attention
apple-silicon
reasoning
tool-use
quantized
jang
jangtq
jangtq-k
mixed-precision
jangtq-prestack
osaurus
conversational
Instructions to use OsaurusAI/ZAYA1-VL-8B-JANGTQ_K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OsaurusAI/ZAYA1-VL-8B-JANGTQ_K with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("OsaurusAI/ZAYA1-VL-8B-JANGTQ_K") config = load_config("OsaurusAI/ZAYA1-VL-8B-JANGTQ_K") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!