moeinGTS Launches Open-Source AI Suite Spanning Edge LLMs and Vision Adapters

Developers Ali and Arshiya Sohrevardi have introduced the moeinGTS ecosystem, a family of open-source AI models designed for local, resource-efficient deployment. The lineup includes five specialized models ranging from a 1.5-billion-parameter lightweight LLM for edge devices to GTS-1, a flagship model built for complex reasoning and multi-agent coordination. A fine-tuned vision adapter called moeinGTS-kamal-1 handles image generation, while moeinGTS-paspan focuses on security, prompt injection defense, and output safety filtering. All models are optimized for low-VRAM environments using GGUF quantization formats and are compatible with frameworks such as Ollama, Hugging Face Diffusers, and PyTorch. The suite is publicly available on Hugging Face and Ollama Hub, and is designed so the individual models can work collaboratively within a single agentic pipeline.