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Weld-Defects-Qwen3-VL-8B-Instruct-Q4_K_M
megatharun/Weld-Defects-Qwen3-VL-8B-Instruct-Q4_K_M
Weld-Defects-Qwen3-VL-8B-Instruct-Q4_K_M is a machine learning model from megatharun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Here we build a simple multi-system prompts that used Qwen3-VL-8B-Instruct-Q4KM.gguf and mmproj-F16.gguf with lovely results without fine-tuning the model. Tuning were only done on the multi-system prompts but the ima…
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 30, 2026
- Updated
- Oct 19, 2026
- SHA
- f9a57f42
Base models
Model card
From the Hugging Face model README
Agentic LLM (Qwen3) for weld defect detection in industrial radiographic image
Here we build a simple multi-system prompts that used Qwen3-VL-8B-Instruct-Q4_K_M.gguf and mmproj-F16.gguf with lovely results without fine-tuning the model. Tuning were only done on the multi-system prompts but the images used for testing were CLAHE improved. The inference file can be used to detect and classify weld defects in industrial radiographic image.
This development is part of effort at NDT-Material Structural Integrity Group at Agensi Nuklear Malaysia to build agentic AI for NDT inspection.
Simple inference file: LLM_Inference.ipynb
System prompt files (decision tree agents): prompt_router_3.txt, prompt_volumetric_3.txt, prompt_planar_3.txt
All these files (including the model) will be updated from time to time when better results and system are achieved.
- License
- apache-2.0
- Created
- Jul 30, 2026
- Updated
- Oct 19, 2026