Next 2 Fast: Global Multimodal Intelligence
Next 2 Fast is a 4-billion parameter Multimodal Vision-Language Model (VLM) developed by Lamapi, an AI research lab in Türkiye. Built on the Gemma 3 architecture, it is engineered for high-performance reasoning across languages and modalities, aiming to bridge the gap between large commercial models and accessible open-source intelligence.
Key Capabilities
- Multilingual Proficiency: Fluent in English, Turkish, German, French, Spanish, and over 25 other languages, offering true multilingual understanding without "translation-ese."
- Multimodal Vision-Language: Processes both images and text to generate code, descriptions, and analysis, capable of reading charts and identifying objects.
- High Efficiency & Speed: Optimized for low-latency inference, running approximately 2x faster than previous generations and deployable on consumer hardware (8GB VRAM) using 4-bit/8-bit quantization.
- Strong Reasoning: Delivers flagship-level performance in a compact size, outperforming Gemma 3 4B, Llama 3.2 3B, and Phi-3.5 Mini on benchmarks like MMLU (85.1%), MMLU-Pro (67.4%), GSM8K (83.5%), and MATH (71.2%).
- Code & Math: Exhibits strong capabilities in Python coding, debugging, and solving mathematical problems.
Good For
- Applications requiring fast, efficient multimodal reasoning on consumer hardware.
- Multilingual AI assistants and content generation in supported languages.
- Tasks involving visual intelligence, such as image analysis, chart interpretation, and object identification.
- Developers seeking a powerful yet accessible VLM for global deployment and real-time applications.