Gharscan Qwen2vl GGUF
GGUF export of the GharScan building-defect detection model.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 940 MB–2,88 GB
- Modelo base
- Qwen/Qwen2-VL-2B-Instruct
- Versión
- vRevision 8e28953
- Actualizado
- 23 oct 2026
- Descargas
- 36
- Fuente
- Hugging Face
Descripción de la fuente
GharScan Qwen2-VL GGUF
GGUF export of the GharScan building-defect detection model.
Base Model
Qwen/Qwen2-VL-2B-Instruct
Fine-Tuning
LoRA fine-tuned on Indian residential wall-defect imagery.
LoRA Adapter: https://huggingface.co/ritvik360/gharscan-qwen2vl-lora
Datasets
Defect Dataset: https://huggingface.co/datasets/ritvik360/gharscan-defect-dataset
Agent Traces: https://huggingface.co/datasets/ritvik360/gharscan-agent-traces
Quantizations
- gharscan-f16.gguf
- gharscan-q4_k_m.gguf
Use Case
GharScan analyzes residential building defects including:
- Hairline cracks
- Structural cracks
- Settlement cracks
- Water seepage
- Efflorescence
- Concrete spalling
- Rebar corrosion
- Plaster delamination
The model is designed for rapid first-pass assessment of residential wall defects in Indian housing contexts.
Conversion
Converted to GGUF and quantized using llama.cpp.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 23 oct
Download files
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactosExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: apache-2.0 datasets: - ritvik360/gharscan-defect-dataset language: - en base_model: - Qwen/Qwen2-VL-2B-Instruct pipeline_tag: image-to-text tags: - gguf - llama.cpp - image-to-text - qwen2-vl - computer-vision --- # GharScan Qwen2-VL GGUF GGUF export of the GharScan building-defect detection model. ## Base Model Qwen/Qwen2-VL-2B-Instruct ## Fine-Tuning LoRA fine-tuned on Indian residential wall-defect imagery. LoRA Adapter: https://huggingface.co/ritvik360/gharscan-qwen2vl-lora ## Datasets Defect Dataset: https://huggingface.co/datasets/ritvik360/gharscan-defect-dataset Agent Traces: https://huggingface.co/datasets/ritvik360/gharscan-agent-traces ## Quantizations * gharscan-f16.gguf * gharscan-q4_k_m.gguf ## Use Case GharScan analyzes residential building defects including: * Hairline cracks * Structural cracks * Settlement cracks * Water seepage * Efflorescence * Concrete spalling * Rebar corrosion * Plaster delamination The model is designed for rapid first-pass assessment of residential wall defects in Indian housing contexts. ## Conversion Converted to GGUF and quantized using llama.cpp.
Source context: 36 downloads · 0 likes · Pipeline image-to-text · Repo ritvik360/gharscan-qwen2vl-gguf
Source context: 99 downloads · 0 likes · Pipeline image-to-text · Repo ritvik360/gharscan-qwen2vl-gguf
