Skip to content

model-size.md

Latest commit

 

History

History
105 lines (77 loc) · 3.1 KB

model-size.md

File metadata and controls

105 lines (77 loc) · 3.1 KB
title Model Size

Classification

Model XNNPACK [MB] Core ML [MB]
EFFICIENTNET_V2_S 85.6 43.9

Object Detection

Model XNNPACK [MB]
SSDLITE_320_MOBILENET_V3_LARGE 13.9

Style Transfer

Model XNNPACK [MB] Core ML [MB]
STYLE_TRANSFER_CANDY 6.78 5.22
STYLE_TRANSFER_MOSAIC 6.78 5.22
STYLE_TRANSFER_UDNIE 6.78 5.22
STYLE_TRANSFER_RAIN_PRINCESS 6.78 5.22

OCR

Model XNNPACK [MB]
Detector (CRAFT_QUANTIZED) 20.9
Recognizer (CRNN) 18.5 - 25.2*

* - The model weights vary depending on the language.

Vertical OCR

Model XNNPACK [MB]
Detector (CRAFT_QUANTIZED) 20.9
Recognizer (CRNN) 18.5 - 25.2*

* - The model weights vary depending on the language.

LLMs

Model XNNPACK [GB]
LLAMA3_2_1B 2.47
LLAMA3_2_1B_SPINQUANT 1.14
LLAMA3_2_1B_QLORA 1.18
LLAMA3_2_3B 6.43
LLAMA3_2_3B_SPINQUANT 2.55
LLAMA3_2_3B_QLORA 2.65

Speech to text

Model XNNPACK [MB]
WHISPER_TINY_EN 151
WHISPER_TINY 151
WHISPER_BASE_EN 290.6
WHISPER_BASE 290.6
WHISPER_SMALL_EN 968
WHISPER_SMALL 968

Text to speech

Model XNNPACK [MB]
KOKORO_SMALL 329.6
KOKORO_MEDIUM 334.4

Text Embeddings

Model XNNPACK [MB]
ALL_MINILM_L6_V2 91
ALL_MPNET_BASE_V2 438
MULTI_QA_MINILM_L6_COS_V1 91
MULTI_QA_MPNET_BASE_DOT_V1 438
CLIP_VIT_BASE_PATCH32_TEXT 254

Image Embeddings

Model XNNPACK [MB]
CLIP_VIT_BASE_PATCH32_IMAGE 352

Semantic Segmentation

Model XNNPACK [MB]
DEELABV3_RESNET50 168

Text to image

Model Text encoder (XNNPACK) [MB] UNet (XNNPACK) [MB] VAE decoder (XNNPACK) [MB]
BK_SDM_TINY_VPRED 492 1290 198

Voice Activity Detection (VAD)

Model XNNPACK [MB]
FSMN_VAD 1.83