Qwen2.5-VL-32B-Instruct-bf16
mlx-community/Qwen2.5-VL-32B-Instruct-bf16
Vision + text · transformers
bf16 Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/Qwen2.5-VL-32B-Instruct-bf16 --image photo.jpg --prompt "Describe this image"
Details
- Base model
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- Vendor
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- Task
- Vision + text
- Quantisation
- bf16
- Licence
- apache-2.0
- Downloads
- 203 in the last 30 days · 4.0K all time · 5 likes
- Published
- 2025-03-24 · updated 2025-03-27 (1y ago)
- Languages
- en
- Tags
- qwen2_5_vl, multimodal