Yiyang-Ian-Li/EgoAlign-7B-SQA3D-NoSituation
AI model by Yiyang-Ian-Li
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Model card & documentation
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This repository contains an EgoAlign adapter, not a full model. EgoAlign combines a Qwen2.5-7B-Instruct language backbone with the public Concerto point encoder and uses a numerical agent pose to ground spatial questions in 3D scenes. Built with Qwen and Concerto. This adapter is ready for SQA3D evaluation without situation descriptions. It already includes the continued training from egocentric alignment; do…
Read the full model card ↗ · Preview checked 2026-11-14T11:16:16.090Z
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Model overview
Yiyang-Ian-Li/EgoAlign-7B-SQA3D-NoSituation is a task-unspecified model repository published by Yiyang-Ian-Li on Hugging Face. The source reports the peft library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- peft
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-28T05:50:33.000Z
- Last modified
- 2026-09-28T06:03:26.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen2.5-7B-Instruct
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-28T06:38:00.545Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.