Mobilint Model Zoo

Mobilint Model Zoo#

Mobilint’s Model Zoo (mblt-model-zoo) is a curated collection of deep learning models optimized by Mobilint’s Neural Processing Units (NPUs).

Designed to help developers accelerate deployment, Mobilint’s Model Zoo offers access to over 400 public, pre-trained, and pre-quantized vision, language, and multimodal models in .mxq* formats, optimized for Mobilint’s runtime. Along with performance results, we provide pre- and post-processing tools to help developers evaluate, fine-tune, and integrate the models with ease.

New models are added regularly to support evolving AI workloads and customer requests.

Supported Models#

The following is a list of models (non-exhaustive) currently available in Mobilint’s Model Zoo.

Transformer Models#

Large Language Models#

Model	Model ID	Original Source
EXAONE-3.5-2.4B-Instruct	`mobilint/EXAONE-3.5-2.4B-Instruct`	Link
EXAONE-4.0-1.2B	`mobilint/EXAONE-4.0-1.2B`	Link
EXAONE-Deep-2.4B	`mobilint/EXAONE-Deep-2.4B`	Link
HyperCLOVAX-SEED-Text-Instruct-1.5B	`mobilint/HyperCLOVAX-SEED-Text-Instruct-1.5B`	Link
Llama-3.1-8B-Instruct	`mobilint/Llama-3.1-8B-Instruct`	Link
Llama-3.2-1B-Instruct	`mobilint/Llama-3.2-1B-Instruct`	Link
Llama-3.2-3B-Instruct	`mobilint/Llama-3.2-3B-Instruct`	Link
c4ai-command-r7b-12-2024	`mobilint/c4ai-command-r7b-12-2024`	Link
bert-base-uncased	`mobilint/bert-base-uncased`	Link
Qwen2.5-7B-Instruct	`mobilint/Qwen2.5-7B-Instruct`	Link

Speech-To-Text Models#

Model	Model ID	Original Source
whisper-small	`mobilint/whisper-small`	Link

Vision Language Models#

Model	Model ID	Original Source
aya-vision-8b	`mobilint/aya-vision-8b`	Link
blip-image-captioning-large	`mobilint/blip-image-captioning-large`	Link
Qwen2-VL-2B-Instruct	`mobilint/Qwen2-VL-2B-Instruct`	Link

Vision Models#

Image Classification (ImageNet)#

Model	Original Source
AlexNet	Link
ConvNeXt_Tiny	Link
ConvNeXt_Small	Link
ConvNeXt_Base	Link
ConvNeXt_Large	Link
DenseNet121	Link
DenseNet169	Link
DenseNet201	Link
GoogLeNet	Link
Inception_V3	Link
MNASNet1_0	Link
MNASNet1_3	Link
MobileNet_V2	Link
RegNet_X_400MF	Link
RegNet_X_800MF	Link
RegNet_X_1_6GF	Link
RegNet_X_3_2GF	Link
RegNet_X_8GF	Link
RegNet_X_16GF	Link
RegNet_X_32GF	Link
RegNet_Y_400MF	Link
RegNet_Y_800MF	Link
RegNet_Y_1_6GF	Link
RegNet_Y_3_2GF	Link
RegNet_Y_8GF	Link
RegNet_Y_16GF	Link
RegNet_Y_32GF	Link
ResNet18	Link
ResNet34	Link
ResNet50	Link
ResNet101	Link
ResNet152	Link
ResNeXt50_32X4D	Link
ResNeXt101_32X8D	Link
ResNeXt101_64X4D	Link
ShuffleNet_V2_X1_0	Link
ShuffleNet_V2_X1_5	Link
ShuffleNet_V2_X2_0	Link
VGG11	Link
VGG11_BN	Link
VGG13	Link
VGG13_BN	Link
VGG16	Link
VGG16_BN	Link
VGG19	Link
VGG19_BN	Link
Wide_ResNet50_2	Link
Wide_ResNet101_2	Link

Object Detection (COCO)#

Model	Original Source
yolov3u	Link
yolov3-spp	Link
yolov3-sppu	Link
yolov5su	Link
yolov5mu	Link
yolov5lu	Link
yolov5l6	Link
yolov5xu	Link
yolov5x6	Link
yolov7	Link
yolov7x	Link
yolov8s	Link
yolov8m	Link
yolov8l	Link
yolov8x	Link
yolov9m	Link
yolov9c	Link
yolo11s	Link
yolo11m	Link
yolo11l	Link
yolo11x	Link
yolo12s	Link
yolo12m	Link

Instance Segmentation (COCO)#

Model	Original Source
yolov5l-seg	Link
yolov5x-seg	Link
yolov8s-seg	Link
yolov8m-seg	Link
yolov8l-seg	Link
yolov8x-seg	Link
yolov9c-seg	Link
yolo11s-seg	Link
yolo11m-seg	Link
yolo11l-seg	Link
yolo11x-seg	Link