Samtool Supported Models |top|

This guide provides a comprehensive overview of the models supported by SAMtools, the ubiquitous suite of utilities for interacting with high-throughput sequencing data.

Because "model" can refer to two different things in bioinformatics—sequencing technologies (how data is generated) or genomic feature formats (how data is described)—this guide covers both contexts to ensure you have the complete picture.

1. Meta SAM (Original Series)

The original models released by Meta AI Research (FAIR).

| 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")

Which Functions Work on Supported Models?

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

| 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 |

4. Generative and Diffusion Models

Diffusion models have high computational demands, but Samtool’s graph optimizations help.

• Stable Diffusion (v1.4, v1.5, v2.1, SDXL) – UNet, CLIP text encoder, and VAE decoder all supported. Samtool can fuse attention and cross-attention blocks.
• DALL-E (Mini/Craiyon) – Support limited to inference of the pretrained decoder-only variant.
• WaveGrad & DiffWave – For audio generation; support for mel-spectrogram conditioning.

Galaxy M & F Series (Emerging Markets)

These are virtually identical to the A-series. SAMTool support is excellent.

• M01 (M015) – Full support
• M11 (M115) – Full support (Qualcomm)
• M12 (M127) – Full support (Exynos 850)
• M21 (M215) – Full support (Exynos 9611)
• M31 (M315) – Full support (Exynos 9611)
• M32 (M325) – Full support (Mediatek G85)
• M33 (M336) – FRP Only (Exynos 1280)
• M42 (M426) – Partial
• M51 (M515) – Full support (Snapdragon 730 – via EDL)
• F12 (F127) – Full support
• F22 (F225) – Full support
• F41 (F415) – Full support

SAMTool — Supported Models

SAMTool supports the following segmentation model backbones and pretrained variants:

• SAM (Segment Anything Model) family

  • sam_vit_b
  • sam_vit_l
  • sam_vit_h

• Mask2Former / MaskFormer-style models

  • mask2former_resnet50
  • mask2former_resnet101
  • mask2former_swint_large

• Detectron2 / Detectron-style instance segmentation backbones

  • detectron_resnet50_fpn
  • detectron_resnet101_fpn

• U-Net variants

  • unet_resnet34
  • unet_resnet50
  • unet_efficientnet_b4

• Mobile / Edge-efficient models

  • mobile_sam_tiny
  • mobile_unet_mini

Notes:

• Exact variant names can differ by SAMTool release; above are the commonly provided canonical model IDs.
• For pretrained weights, SAMTool typically offers both COCO- and SA- (Segment Anything) pretrained checkpoints where available.
• Use the tool's model list command (e.g., samtool list-models) or the GUI to see the precise models available in your installed version.

Related search suggestions: samtool models list (0.9), samtool sam_vit_b download (0.8), samtool mobile_sam_tiny benchmark (0.6)

Leo’s phone was a "brick"—a high-tech paperweight stuck in a boot loop. He took it to a local service center where the technician, Sarah, didn't reach for a screwdriver first. Instead, she opened SamsTool Online.

"It's a compatibility issue," she explained. "This tool supports the latest generation of Exynos, MTK, Unisoc, and Qualcomm based Samsung devices". She pointed to the screen as the software identified Leo's specific model. Supported Models and Capabilities

Sarah explained that the tool is a "must-have" for professionals because it handles a massive range of hardware: samtool supported models

Processor Support: It features specialized support for Exynos chips (like the 3830, 9830, and 2100) in EUB mode, allowing deep system access even when the phone won't boot normally.

Broad Device Range: It supports approximately 95% of Samsung smartphones, including the Galaxy A, M, and F series (such as the Galaxy A50, A51, and M31).

Advanced Operations: Sarah could not only update the firmware but also: Repair IMEI/SN and network certificates. Reset FRP Locks (Factory Reset Protection) and KG states. Change CSC codes to switch regions. Unlock or Relock Bootloaders for custom software needs.

With a few clicks and a steady cable connection, the progress bar on SamsTool Online turned green. The phone vibrated, the logo appeared, and Leo's "brick" was once again a functioning smartphone.

Note on "SAMtools": In the world of science, there is a completely different SAMtools—a bioinformatics suite used for analyzing genomic data (DNA sequences) in SAM, BAM, and CRAM formats. If your "models" are actually genetic data structures, you can find that software at HTSlib.org. g., SM-A505F) currently supported in the latest update?

While there are several tools with similar names, "SAMtool" (capitalized "T") most accurately refers to the Stock Assessment Methods Toolkit, an R package used in fisheries science for closed-loop simulations.

The following is a draft paper outline for SAMtool: Supported Models and Assessment Frameworks.

Paper Title: Advancing Fisheries Management through the Stock Assessment Methods Toolkit (SAMtool) Abstract

Sustainable fisheries management requires robust diagnostic and assessment tools. This paper explores SAMtool, part of the openMSE collection, which provides a comprehensive suite of assessment models of varying complexity. We detail the supported models, ranging from data-limited methods to complex integrated assessments, and their role in conditioning operating models for Management Strategy Evaluation (MSE). 1. Introduction

Fisheries assessments often face challenges in data quality and model selection. SAMtool (maintained by Quang Huynh) serves as a bridge, offering standardized reporting and diagnostic tools for evaluating assessments within closed-loop simulations. 2. Core Supported Models

SAMtool supports several categories of statistical and biological models:

Assessment Models: Includes models of varying complexity, from simple production models to data-rich integrated assessments.

Rapid Conditioning Model (RCM): A key feature used for conditioning operating models in data-moderate to data-rich fisheries.

Model-Based Management Procedures: Integrated functions that allow for the direct testing of management rules based on model outputs.

Diagnostic Tools: Standardized methods for evaluating model performance and stability within the MSEtool environment. 3. Integration with openMSE

The utility of SAMtool lies in its integration with other packages like MSEtool. It uses TMB (Template Model Builder) for efficient parameter estimation and is built to handle the complex simulations required for data-rich fisheries. 4. Application and Diagnostics

(This section would describe how the toolkit is used to inform management decisions, utilizing its standardized reporting to compare across different assessment configurations.) 5. Conclusion

By providing a unified framework for assessment and conditioning, SAMtool enhances the transparency and reliability of fisheries science. Future developments aim to incorporate even more diverse model structures to accommodate global fishery needs. Note on Name Variants

If you are looking for a different "SAM" tool, here are the two other most common matches: This guide provides a comprehensive overview of the

SAMtools (Bioinformatics): A suite of programs (view, sort, index) for interacting with high-throughput sequencing data in SAM/BAM/CRAM formats.

SamsTool Online (Mobile Repair): A professional tool for diagnostics and repair of Samsung devices (Exynos, Qualcomm, MTK based).

Samtools. Reading/writing/editing/indexing/viewing SAM/BAM/CRAM format. BCFtools. Reading/writing BCF2/VCF/gVCF files and calling/ SAMtool: Stock Assessment Methods Toolkit - Blue Matter

Since "samtool" can refer to different technical domains, this paper overview focuses on the

R package used in fisheries science, which provides a comprehensive suite of "Stock Assessment Methods".

The SAMtool (Stock Assessment Methods toolkit) is an R-based framework designed to bridge data-rich and data-moderate stock assessments within the Management Strategy Evaluation (MSE)

framework. It provides a standardized environment for conditioning operating models, running various assessment models, and implementing model-based management procedures. 1. Core Supported Assessment Models

SAMtool integrates several tiers of assessment complexity, from simple production models to data-rich age-structured models. Surplus Production Models (SP): Includes the (State-Space) and models, which estimate cap F sub cap M cap S cap Y end-sub cap M cap S cap Y using biomass indices and catch data. Statistical Catch-at-Age (SCA): Data-rich models such as (Catch-at-Length), and variants like (Density-Dependent Maturity). Virtual Population Analysis (VPA):

Classic age-structured assessment methods for reconstructing historical population size from catch-at-age. Delay-Difference Models (DD): (Continuous Delay-Difference) and

, which utilize the TMB (Template Model Builder) package for efficient parameter estimation. 2. Conditioning and Diagnostic Tools

Beyond standalone assessments, the toolkit offers models for "scoping" and validating fishery data. Rapid Conditioning Model (RCM): Formerly known as

, this model is used for conditioning operating models in the environment. Model Diagnostics: Includes functions for likelihood profiling ( ), retrospective analysis ( plot.retro ), and residual analysis ( plot_residuals ) to ensure model fit and stability. 3. Management Procedures (MP)

provides "Model-based-MP" functions that link assessment outputs directly to Harvest Control Rules (HCRs) HCR_fixedF maintains a constant fishing mortality. Sliding Scale Rules:

adjust fishing effort based on current biomass relative to target benchmarks. Escapement Rules: HCR_escapement for managing stocks with high recruitment variability. Alternative Interpretations

If you were referring to a different "SAM" tool, the supported models vary significantly: SAMtools (Genomics): Supports file formats like SAM, BAM, and CRAM for DNA sequence alignment rather than statistical models. Segment Anything Model (SAM) Tool: Supports AI-driven vision models such as SAM, SAM 2, and SAM 3 for image and video segmentation. or explore the genomic file specifications of the other SAMtools? Segment Anything Model (SAM) - Ultralytics YOLO Docs

In the context of Meta’s Segment Anything Model (SAM), there are several generations of models designed for different image and video tasks. Current SAM Tool Supported Models

Meta has expanded the original SAM framework into specialized versions for video and 3D reconstruction:

SAM 3.1 & SAM 3: The latest foundation models for real-time video segmentation and object detection. These use the Meta Perception Encoder to achieve higher performance and speed for real-world computer vision tasks.

SAM 2: A unified model for both image and video segmentation. It features a "memory module" that allows it to track objects through video frames even when they are temporarily occluded. Which Functions Work on Supported Models

SAM 3D: A suite of models focused on converting 2D images into 3D reconstructions.

SAM 3D Objects: Reconstructs the geometry and texture of physical objects and entire scenes.

SAM 3D Body: Specialized in human body shape and pose estimation from a single image.

Original SAM: The first foundation model for promptable image segmentation, capable of generating masks for any object in an image using points or bounding boxes. Core Technical Features

Promptable Design: Users can interact with these models using points, boxes, or masks to specify which object to segment.

Zero-Shot Generalization: These models are trained on massive datasets (like the SA-1B dataset), allowing them to recognize and segment objects they have never seen before without additional training.

Streaming Architecture: SAM 2 and SAM 3 process video frames sequentially, making them suitable for real-time applications.

Note on SAMtools: If you are instead looking for the bioinformatics toolkit SAMtools, it does not use "models" in the AI sense. It is a suite of utilities for processing sequence alignment files in SAM, BAM, and CRAM formats. It is frequently used alongside BCFtools for variant calling. Introducing Meta Segment Anything Model 2 (SAM 2)

When looking for SAMTool supported models, it is essential to distinguish between two completely different industries that use this term: Bioinformatics (genomic data) and Mobile Repair (smartphone servicing).

Depending on your field, "SAMTool supported models" refers to either specific biological sequence formats or a wide array of Android hardware. 1. Z3X SamsTool Online (Mobile Servicing)

In the mobile repair industry, SamsTool Online by the Z3X-Team is a professional software suite used for repairing, unlocking, and flashing Samsung devices. It supports a massive catalog of models across various chipsets including Exynos, Qualcomm, MediaTek (MTK), Unisoc, and Spreadtrum. Core Supported Chipsets (EUB Mode)

The tool is particularly known for its deep integration with Exynos processors, supporting them in EUB mode (Emergency USB Boot) for tasks like FRP resets and boot repairs: Exynos 850 (Exynos 3830) Exynos 990 (Exynos 9830) Exynos 1280 (Exynos 881) Exynos 1330 (Exynos 8535) Exynos 1380 (Exynos 8835) Exynos 2100 (Exynos 9840) Supported Model Series

The software is updated frequently to include the latest security patches (up to Android 15/16) and new hardware.

Galaxy S Series: S20, S21, S22, S23, S24 (various variants including FE and Ultra models).

Galaxy A Series: Mid-range and budget models like the A03s, A04, A05, A06, A13, A14, A22, A32, A52, and the newer A55 5G.

Galaxy Z Fold & Flip: High-end foldables including the Z Fold3, Fold4, Fold5, and Z Flip5.

Galaxy Tab & M/F Series: Tablets like the Tab S6 Lite, Tab A9+, and budget-focused M/F series (M05, F05, M15, M55). 2. SAMtools (Bioinformatics & Genomics)

In the scientific community, SAMtools is a foundational suite of programs for interacting with high-throughput sequencing data. In this context, "supported models" refers to the file formats and genomic data structures it can manipulate.

Note: "SAMtool" is commonly interpreted as a utility or wrapper for the Segment Anything Model (SAM) developed by Meta AI. If you are referring to a different specific software or library (e.g., a bioinformatics tool like SAMtools, or a proprietary industrial tool), please clarify. The following article assumes you are referring to the ecosystem surrounding Meta’s SAM.

3. Taxonomy of Architectures

1. Prompt-adaptive segmentation heads
   • Small networks that take SAM mask + image + prompt features to refine boundaries or resolve ambiguity.
2. Mask ensembling and ranking modules
   • Systems that combine multiple SAM masks (different sam checkpoints, prompt sets) and score/rank masks for a final selection.
3. Domain-adaptation wrappers
   • Fine-tuned encoders or adapter layers to improve SAM mask quality on medical, aerial, or industrial imagery.
4. Task-specific downstream models
   • Instance-level classifiers, attribute regressors, or measurement modules that operate on SAM masks as region proposals.
5. Vision–language integrators
   • Models that align SAM masks with text queries (e.g., region grounding, referring segmentation).
6. Generative-conditioned models
   • Image-to-image or inpainting generative models that use SAM masks as conditioning to control edits or object synthesis.
7. Interactive annotation UIs and active-learning agents
   • Tools that use SAMTool for rapid annotation, with models that suggest informative prompts or next clicks.

6. Empirical Findings (Synthesis of Common Observations)

• SAM provides strong, general-purpose masks but often needs domain adaptation for dense or texture-similar domains (medical scans, satellite imagery).
• Mask refiners that incorporate image-aware boundary cues (e.g., encoder–decoder trained with boundary losses) consistently reduce boundary F-score errors.
• Ensembles of diverse prompts or checkpoints improve recall but require robust ranking to avoid false positives.
• Conditioning downstream classifiers on SAM mask embeddings yields better localization-aware predictions than naive cropping.
• Interactive pipelines significantly reduce annotation time; the largest gains come from models that predict the next most-informative prompt.
• Vision–language grounding benefits when SAM masks are paired with learned mask-text embeddings rather than raw masks alone.