SpaceThinker-Qwen2.5VL-3B shows a 3B VLM can compete with closed, frontier APIs in quantitative spatial reasoning, a key capability for embodied AI applications like drones and robotics.
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SpaceThinker-Qwen2.5VL-3B shows a 3B VLM can compete with closed, frontier APIs in quantitative spatial reasoning, a key capability for embodied AI applications like drones and robotics.
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Check out how it stacks up against Gemini and OpenAI on Q-Spatial-Bench in the ModelCard. Includes .gguf, colab quickstart, docker images.
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Check out how it stacks up against Gemini and OpenAI on Q-Spatial-Bench in the ModelCard. Includes .gguf, colab quickstart, docker images.
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SpaceThinker adopts the Qwen2.5VL-3B architecture, fine-tuned on the SpaceThinker dataset of synthetic spatial reasoning traces, created with VQASynth
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SpaceThinker adopts the Qwen2.5VL-3B architecture, fine-tuned on the SpaceThinker dataset of synthetic spatial reasoning traces, created with VQASynth
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This model builds upon the SpaceLLaVA series of VLMs finetuned for enhanced spatial reasoning using synthetic data by adding test-time compute for multimodal thinking.
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This model builds upon the SpaceLLaVA series of VLMs finetuned for enhanced spatial reasoning using synthetic data by adding test-time compute for multimodal thinking.
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Model: 
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Model: 
https://huggingface.co/remyxai/SpaceThinker-Qwen2.5VL-3B
remyxai/SpaceThinker-Qwen2.5VL-3B
model
resource
https://huggingface.co/remyxai/SpaceThinker-Qwen2.5VL-3B
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Dataset: 
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Dataset: 
https://huggingface.co/datasets/remyxai/SpaceThinker
remyxai/SpaceThinker
dataset
resource
https://huggingface.co/datasets/remyxai/SpaceThinker
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Space: 
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Space: 
https://huggingface.co/spaces/remyxai/SpaceThinker-Qwen2.5VL-3B
remyxai/SpaceThinker-Qwen2.5VL-3B
space
resource
https://huggingface.co/spaces/remyxai/SpaceThinker-Qwen2.5VL-3B
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Code: 
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Code: 
https://github.com/remyxai/VQASynth
https://github.com/remyxai/VQASynth
link
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Discussion: 
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Discussion: 
https://huggingface.co/spaces/open-r1/README/discussions/10
open-r1/README
space
resource
https://huggingface.co/spaces/open-r1/README/discussions/10
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SpaceThinker-Qwen2.5VL-3B shows a 3B VLM can compete with closed, frontier APIs in quantitative spatial reasoning, a key capability for embodied AI applications like drones and robotics.

Check out how it stacks up against Gemini and OpenAI on Q-Spatial-Bench in the ModelCard. Includes .gguf, colab quickstart, docker images.


SpaceThinker adopts the Qwen2.5VL-3B architecture, fine-tuned on the SpaceThinker dataset of synthetic spatial reasoning traces, created with VQASynth

This model builds upon the SpaceLLaVA series of VLMs finetuned for enhanced spatial reasoning using synthetic data by adding test-time compute for multimodal thinking.

Model: https://huggingface.co/remyxai/SpaceThinker-Qwen2.5VL-3B
Dataset: https://huggingface.co/datasets/remyxai/SpaceThinker
Space: https://huggingface.co/spaces/remyxai/SpaceThinker-Qwen2.5VL-3B
Code: https://github.com/remyxai/VQASynth
Discussion: https://huggingface.co/spaces/open-r1/README/discussions/10


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