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SmolDocling-256M-preview-mlx-fp16
ahishamm/SmolDocling-256M-preview-mlx-fp16
SmolDocling-256M-preview-mlx-fp16 is a image-text-to-text model from ahishamm. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
The Model ahishamm/SmolDocling-256M-preview-mlx-fp16 was converted to MLX format from ds4sd/SmolDocling-256M-preview using mlx-vlm version 0.1.17.
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256M
513 MB on disk
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- idefics3
- Access
- Public
- Created
- Mar 17, 2025
- Updated
- Mar 18, 2025
- SHA
- 0b841064
Try a prompt
Base models
Model card
From the Hugging Face model README
ahishamm/SmolDocling-256M-preview-mlx-fp16
The Model ahishamm/SmolDocling-256M-preview-mlx-fp16 was converted to MLX format from ds4sd/SmolDocling-256M-preview using mlx-vlm version 0.1.17.
Use with mlx
pip install mlx-vlm
from mlx_lm import load, generate
model, tokenizer = load("ahishamm/SmolDocling-256M-preview-mlx-fp16")
prompt = "hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- idefics3
- License
- apache-2.0
- Languages
- en
- Created
- Mar 17, 2025
- Updated
- Mar 18, 2025