Advantech-EIOT GGUF artifacts, organized by quantization and role: - Q4KM/: Q4KM main models - IQ3KT/: IQ3KT main models Note: The IQ3KT model has performance issues and is for testing purposes only. - mmproj/: multimodal projector files Exact duplicate local files were removed by SHA-256 before upload.
Organization
Advantech
Advantech-EIOT
Models in Library3
Datasets in Library0
Models on Hugging Face21
Followers12
Compare the published evidence
This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Object detection.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
Advantech-EIOT GGUF artifacts, organized by quantization and role: - Q4KM/: Q4KM main models - IQ3KT/: IQ3KT main models - mmproj/: multimodal projector files Exact duplicate local files were removed by SHA-256 before upload.
This repository distributes an existing OpenVINO IR conversion of the TensorFlow SSDLite MobileNet V2 COCO object-detection model for the Advantech Intel EdgeAI SDK benchmark. Advantech did not train the original model. Download both model files into the same directory and retain their filenames. FP16 describes the stored weights; it does not guarantee that all operations execute with FP16 precision on every device. The tensor names and shapes describe the XML in this repository. Other upstream conversions can use different output names or preprocessing. The original artifact metadata records OpenVINO 2024.6.0 conversion tooling. The existing XML and BIN were retained without reconversion…