SLT-AI/SLT-1.5B-GoToSmart
SLT-AI/SLT-1.5B-GoToSmart is a 1.5 billion parameter conversational language model developed by SLT-AI, built upon the Qwen2.5-1.5B architecture. Fine-tuned on 15,000 high-quality examples, it excels in natural conversations across Russian, English, and Polish, and demonstrates proficiency in Python coding and mathematics with step-by-step explanations. This model is optimized for instruction-following dialogues and incorporates up-to-date general knowledge as of 2025-2026, making it suitable for diverse interactive applications.
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SLT-1.5B-GoToSmart: A Multilingual Conversational Model
SLT-1.5B-GoToSmart is a 1.5 billion parameter conversational model developed by SLT-AI, based on the Qwen2.5-1.5B architecture. It has been fine-tuned on a specialized dataset of 15,000 high-quality examples, focusing on enhancing its interactive and problem-solving capabilities.
Key Capabilities
- Multilingual Conversations: Proficient in natural conversations across Russian, English, and Polish.
- Coding Assistance: Capable of handling Python coding tasks.
- Mathematical Reasoning: Provides step-by-step explanations for mathematical problems.
- Instruction Following: Designed to accurately follow user instructions in dialogue.
- Up-to-date Knowledge: Incorporates general knowledge updated to 2025-2026.
Good For
- Developing chatbots or conversational agents requiring multilingual support.
- Applications needing assistance with Python code generation or explanation.
- Educational tools that require step-by-step mathematical problem-solving.
- Interactive systems where precise instruction-following is crucial.