Hugging Face Overview
Overview of Lamapi/next-4b
Lamapi/next-4b is a 4.3 billion parameter multimodal Vision-Language Model (VLM) built upon the Gemma 3 architecture. It is notable as Türkiye’s first open-source VLM, specifically fine-tuned to process and generate both text and images efficiently. The model emphasizes reasoning and context-aware multimodal outputs, with robust support for the Turkish language alongside broader multilingual capabilities.
Key Capabilities
- Multimodal Understanding: Processes and reasons over both image and text inputs.
- Efficiency: Optimized for low VRAM environments, supporting 8-bit quantization for deployment on consumer-grade GPUs.
- Multilingual Support: Handles complex Turkish text with high accuracy, in addition to other languages.
- Advanced Reasoning: Capable of logical and analytical reasoning across both visual and textual data.
- Consistent Outputs: Designed to provide reliable and reproducible responses.
Good For
- Researchers and Developers: Ideal for those needing a high-performance, accessible multimodal AI.
- Visual Understanding Tasks: Excels at image captioning, multimodal question answering, and visual reasoning.
- Text Generation: Capable of creative storytelling and general text generation.
- Low-Resource Deployment: Suitable for applications requiring efficient operation on modest hardware.