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---
library_name: transformers
base_model:
- Qwen/Qwen3-VL-32B-Thinking
pipeline_tag: text-generation
---
<center><img style="height:100px" src="https://cdn-uploads.huggingface.co/production/uploads/66d78facde54fea8a009927e/n2pVs6-SPT0XsAyZPLKOY.png"></center>
# Qwen3-VLTO-32B-Thinking
Qwen3-VL-32B-Thinking but without the vision components (**V**ision **L**anguage **T**ext **O**nly). Functions exactly like a text-only Qwen3 model.
To do this, I simply imported the weights from the VL model into the text model via PyTorch's `load_state_dict`. The model architecture is essentially the exact same.
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