Downloads · 30 days
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DreamFoundries/Qwen3-VL-4B-Instruct-3bit
Qwen3-VL-4B-Instruct-3bit is a image-text-to-text model from DreamFoundries. 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 mlx. The card lists the license as apache-2.0.
[](https://mlxhub.app/open-model?repo=DreamFoundries/Qwen3-VL-4B-Instruct-3bit)
Downloads · 30 days
34
28% of all-time downloads
All-time downloads
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2.6 GB on disk
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.safetensors2.6 GB · 99%
How the weights are stored.
U324B · 91%
From the Hugging Face model README
Re-upload of mlx-community/Qwen3-VL-4B-Instruct-3bit with one fix: the upstream repo ships a stale model.safetensors.index.json describing a 2-shard bf16 checkpoint (model-00001-of-00002.safetensors / model-00002-of-00002.safetensors) that does not exist in that repo — only a single consolidated model.safetensors (3-bit, MLX format, 1219 tensors) is actually present. Any loader that trusts the index blindly (mlx-swift-lm's safetensorWeightURLs, among others) fails trying to open a shard that was never there, and no re-download fixes it since the missing files simply don't exist upstream.
This repo removes the stale index. Weights are otherwise byte-identical to upstream — same single model.safetensors, same digest.
All credit for the conversion to MLX and the 3-bit quantization goes to mlx-community. All credit for the base model goes to the Qwen team (Apache-2.0).
pip install -U mlx-vlm
python -m mlx_vlm.generate --model DreamFoundries/Qwen3-VL-4B-Instruct-3bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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