atsmt/rect2sheet-qwen-7b-80k
The atsmt/rect2sheet-qwen-7b-80k is a 7.6 billion parameter Qwen2.5-Coder-7B-Instruct based model fine-tuned by atsmt for generating sheet-metal solutions from JSON descriptions of rectangular tab layouts. This variant was trained on 80,028 unvalidated Rect2Sheet designs, distinguishing it from models trained on manually verified data. It specializes in producing candidate fold sequences, bends, and tab geometry for research into data-driven sheet-metal design generation.
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Rect2Sheet Qwen 7B 80K Overview
This model, atsmt/rect2sheet-qwen-7b-80k, is a specialized fine-tuned version of the Qwen2.5-Coder-7B-Instruct base model, featuring 7.6 billion parameters and a 32,768 token context length. Its primary function is to generate sheet-metal solutions, including fold sequences, bends, bend directions, and tab geometry, from JSON descriptions of connected rectangular tabs.
Key Differentiator
Unlike its counterpart, atsmt/rect2sheet-qwen-7b, this variant was trained on a significantly larger dataset of 80,028 unvalidated designs from the Rect2Sheet/SheetGen pipeline. This makes it particularly valuable for research exploring the impact of larger, synthetically generated, but unverified training data on model performance and generalization in sheet-metal design.
Intended Use Cases
- Research into data-driven sheet-metal design: Specifically for comparing the effects of large, unvalidated synthetic datasets versus smaller, manually verified datasets.
- Generating candidate Rect2Sheet solutions: From inputs that adhere to the Rect2Sheet dataset schema.
Limitations
It is crucial to note that the model's training data was not manually verified, meaning outputs may contain invalid or low-quality designs. Generated JSON might be malformed or not conform to the Rect2Sheet schema, and a syntactically valid output does not guarantee geometric validity or manufacturability. Users must validate all generated designs with geometry and manufacturability tooling before any engineering or fabrication use.