Add files using upload-large-folder tool

README.md

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+---
+language:
+- zh
+tags:
+- hisilicon
+- hispark
+- npu
+- openharmony
+- modelzoo
+- pytorch
+---
+
+# TinySam
+
+TinySAM 通过全阶段知识蒸馏、在线硬提示采样、量化等系列优化策略，构建轻量级 “万物分割” 模型，解决了原始 SAM 模型计算量大、部署困难的痛点，助力高效分割任务在资源受限场景下的应用。
+
+## Mirror Metadata
+
+- Hugging Face repo: shadow-cann/hispark-modelzoo-tinysam
+- Portal model id: i9t43v4pec00
+- Created at: 2025-12-26 16:38:13
+- Updated at: 2025-12-30 20:02:17
+- Category: 计算机视觉
+
+## Framework
+
+- PyTorch
+
+## Supported OS
+
+- OpenHarmony
+- Linux
+
+## Computing Power
+
+- Hi3403V100 SVP_NNN
+
+## Tags
+
+- 分割
+
+## Detail Parameters
+
+- 输入: 448*448
+- 参数量: 5.739M
+- 计算量: 15.423GFLOPs
+
+## Files In This Repo
+
+- prompt_encoder_deploy_model.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
+- image_encoder_deploy_model.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
+- tinysam.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
+- mask_decoder_deploy_model.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
+- SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
+
+## Upstream Links
+
+- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=i9t43v4pec00
+- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/segmentation/TinySam
+- License reference: https://github.com/xinghaochen/TinySAM/blob/main/LICENSE
+
+## Notes
+
+- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
+- File ownership follows the portal card mapping, not just filename similarity.
+- Cover image: 1719774851694593_realquant_201909262051154_0.jpg

SVP_NNN_PC_V1.0.6.0.tgz

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model-card.json

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+  "name": "TinySam",
+  "id": "i9t43v4pec00",
+  "description": "TinySAM 通过全阶段知识蒸馏、在线硬提示采样、量化等系列优化策略，构建轻量级 “万物分割” 模型，解决了原始 SAM 模型计算量大、部署困难的痛点，助力高效分割任务在资源受限场景下的应用。",
+  "category": "计算机视觉",
+  "framework": [
+    "PyTorch"
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+    "Linux"
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+  "licenseUrl": "https://github.com/xinghaochen/TinySAM/blob/main/LICENSE",
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