Samtool Supported Models May 2026

Where SAMtool truly shines is its support for compressed models. The base SAM-H requires ~2.6GB of VRAM, which is prohibitive for many users. SAMtool natively supports:

Before diving into the list of supported models, it is essential to understand what Samtool is and what it is not. Samtool (often stylized as samtool) is a unified command-line utility and library designed to manage, convert, and optimize AI models for heterogeneous computing environments. Unlike monolithic frameworks like TensorFlow or PyTorch, which focus on training and inference on general-purpose hardware, Samtool targets the deployment phase. It acts as a compatibility layer between high-level model definitions (ONNX, TensorFlow Lite, PyTorch) and low-level hardware-specific instructions (NPUs, GPUs, TPUs, DSPs, and FPGAs).

Originally developed for edge computing scenarios, Samtool has gained traction in data center environments as well. Its primary value proposition lies in its ability to take a standard model format and automatically apply hardware-specific optimizations—such as operator fusion, quantization, memory planning, and kernel autotuning—without requiring developers to rewrite their models for each target device.

Not all "supported" models unlock the full toolkit. Here is the breakdown of capability levels: samtool supported models

| Function | OLD models (J series, A10, A20, S7) | MID models (A50, A51, M31) | NEW models (A53, A54, S22 Exynos) | | :--- | :--- | :--- | :--- | | FRP Bypass (Google Lock) | ✅ Full (Direct) | ✅ Full (Direct) | ⚠️ Limited (MTP Method) | | Samsung Account Removal | ✅ Full | ✅ Full (With OTG) | ❌ Not possible | | IMEI Repair / Patch Cert | ✅ Full | ✅ Full (Requires Root) | ❌ Blocked by Knox | | Network Unlock | ✅ Full | ⚠️ Temporary only | ❌ Not supported | | Flash Combination File | ✅ Yes | ✅ Yes (Bin 1-4) | ⚠️ Only test firmware | | Remove RMM (Remote Lock) | ✅ Yes | ✅ Yes | ❌ No |

Below is the definitive list of Samsung models verified to work with SAMTool’s primary functions (FRP, Samsung account removal, and binary unlocking). Note: IMEI repair compatibility is marked separately.

The original models released by Meta AI Research (FAIR). Where SAMtool truly shines is its support for

| Model ID | Architecture | Backbone | Output Mask Quality | Speed | Use Case | | :--- | :--- | :--- | :--- | :--- | :--- | | sam_vit_b | ViT-Base | 80M params | High | Fast | Edge devices, real-time apps | | sam_vit_l | ViT-Large | 300M params | Higher | Medium | General purpose | | sam_vit_h | ViT-Huge | 636M params | Highest | Slow | High-precision annotation |

Load syntax:

samtool.load_model("sam_vit_h", checkpoint="sam_vit_h_4b8939.pth")

In the rapidly evolving landscape of artificial intelligence and machine learning, efficient hardware exploitation is no longer a luxury—it is a necessity. For developers, data scientists, and system administrators working with inference and deployment, the toolchain that bridges the gap between AI models and physical hardware is critical. One such powerful, though often under-documented, tool in this ecosystem is Samtool. In the rapidly evolving landscape of artificial intelligence

If you have been searching for the term "samtool supported models," you are likely investigating how to optimize, deploy, or benchmark AI models across different hardware accelerators. This comprehensive guide will explain what Samtool is, why model support matters, and provide an exhaustive, up-to-date list of the model architectures, frameworks, and hardware backends compatible with Samtool.

For developers working outside of standard Python environments, SAMtool supports several specialized exports:

Optimized for mobile and web deployment (50x smaller than SAM-H).

| Model ID | Backbone | Disk Size | RAM Usage | | :--- | :--- | :--- | :--- | | mobilesam | Tiny ViT | 38 MB | ~450 MB |

Note: Retains 90%+ of original SAM's zero-shot capability.