Update Paper Link and Add Github Link
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by
nielsr
HF Staff
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README.md
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---
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library_name: transformers
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pipeline_tag: robotics
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license: apache-2.0
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datasets:
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- homebrewltd/Pick-Place-Table-Reasoning-local-pos-v0.2
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base_model:
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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---
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# AlphaSpace-1.5B
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## Introduction
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**"AlphaSpace:** ([Paper](https://huggingface.co/papers/2503.
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## Model Details
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* Model architecture: [Deepseek-R1-Distil-Qwen-1.5B Instruct](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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| **Precision** | bf16 |
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## Citation
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- arxiv.org/abs/2503.
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- arxiv.org/abs/2503.18769
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## More Information
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* Contact the authors at alan@menlo.ai, bach@menlo.ai, yuuki@menlo.ai for further details.
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---
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base_model:
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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datasets:
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- homebrewltd/Pick-Place-Table-Reasoning-local-pos-v0.2
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library_name: transformers
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license: apache-2.0
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pipeline_tag: robotics
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---
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# AlphaSpace-1.5B
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## Introduction
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**"AlphaSpace:** ([Paper](https://huggingface.co/papers/2503.18769)), a novel methodology designed to enhance the spatial reasoning capabilities of language models for robotic manipulation in 3D Cartesian space. AlphaSpace employs a hierarchical semantics-based tokenization strategy that encodes spatial information at both coarse and fine-grained levels. Our approach represents objects with their attributes, positions, and height information through structured tokens, enabling precise spatial reasoning without relying on traditional vision-based embeddings. This approach enables LLMs to accurately manipulate objects by positioning them at specific [x, y, z] coordinates.
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Code: https://github.com/AlanDao/AlphaSpace
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## Model Details
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* Model architecture: [Deepseek-R1-Distil-Qwen-1.5B Instruct](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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| **Precision** | bf16 |
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## Citation
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- https://arxiv.org/abs/2503.18769
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## More Information
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* Contact the authors at alan@menlo.ai, bach@menlo.ai, yuuki@menlo.ai for further details.
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