# Meet the moeinGTS Family: From Edge-Ready LLMs to Fine-Tuned Vision Adapters

> Source: <https://dev.to/ali_arshiyasohrevardi_3c/meet-the-moeingts-family-from-edge-ready-llms-to-fine-tuned-vision-adapters-1b14>
> Published: 2026-08-27 18:01:56+00:00

#
🚀 Introducing the moeinGTS AI Family: Lightweight, Modular & Open-Source

Building AI solutions often requires striking a balance between local efficiency, specialized performance, and seamless system integration. The **moeinGTS** ecosystem was designed to tackle these challenges by offering a suite of tailored open-source models—ranging from high-speed local LLMs to domain-specific vision and security adapters.

Here is a full breakdown of the **moeinGTS** model lineup:

###
🤖 The Model Lineup

-
`moeinGTS 1.5b`

— The Ultra-Lightweight Core

-
**Role:** Fast, low-latency reasoning & local orchestration.
-
**Best For:** Edge devices, quick zero-shot responses, microcontrollers, and resource-constrained environments.

-
`moeinGTS 3b`

— The Balanced Workhorse

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**Role:** High-efficiency general reasoning and structured data generation.
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**Best For:** Interactive local applications, lightweight agentic pipelines, and local API backends.

-
`GTS-1`

— The Flagship Intelligence

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**Role:** Advanced logic, complex prompt adherence, and multi-step execution.
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**Best For:** Core system backends, deep code synthesis, and multi-agent coordination.

-
`MoeinGTS-kamal-1`

— The Visual & Artistic Adapter

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**Role:** Specialized Diffusers/LoRA fine-tune for high-detail atmospheric and monochrome image generation.
-
**Best For:** Style-consistent visual generation, portraiture, and aesthetic UI graphics.

-
`moeinGTS-paspan`

— The Security & Guardrail Sentinel

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**Role:** Input validation, prompt injection defense, and output safety filtering.
-
**Best For:** Securing local agent workflows, auditing inputs, and ethical hacking guardrails.

###
🛠️ Architecture & Deployment

The entire **moeinGTS** suite is built with local accessibility in mind:

-
**Quantization Support:** Optimized for `GGUF`

formats (`Q4_K_M`

, `Q8_0`

) for low-VRAM environments.
-
**Framework Integration:** Plug-and-play compatible with **Ollama**, **Hugging Face Diffusers**, and **PyTorch/TensorFlow** pipelines.
-
**Agentic Multi-Model Setup:** Designed to run collaboratively—where `paspan`

guards, `GTS-1`

plans, and `kamal-1`

generates visual assets.

###
🔗 Explore & Connect

###
🔗 Explore & Connect

-
**Hugging Face Models:**
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**Ollama Hub:** [arshiyasohrevardimoein/moeinGTS](https://ollama.com/arshiyasohrevardimoein/moeinGTS)
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**Developed by:** Ali & Arshiya Sohrevardi (**moeinGTS Team**)
*#AI #OpenSource #MachineLearning #HuggingFace #Python #LocalAI*