Mit-ThinkDeeply

Model Description

Mit-ThinkDeeply is the advanced version of the Mit series of large language models (LLMs) developed by WinkingFace. Built upon the robust foundation of the Mit base model, Mit-ThinkDeeply introduces enhanced reasoning capabilities, superior contextual understanding, and refined function-calling precision. This model is designed to seamlessly integrate intuitive conversational abilities with advanced multi-step reasoning, making it ideal for complex analytical tasks, structured problem-solving, and high-stakes decision-making.

Key features of Mit-ThinkDeeply include:

• Advanced Reasoning: Capable of generating long chains of thought to deeply analyze problems and provide well-reasoned solutions.
• Enhanced Contextual Awareness: Improved ability to maintain coherence across multi-turn conversations and long-form interactions.
• Function Calling Precision: Optimized for reliable and accurate execution of tool calls, enabling seamless integration with external APIs and services.
• Versatile Use Cases: Adaptable for both standard conversational tasks and complex reasoning scenarios, including mathematical problem-solving, code generation, and structured output generation.
• Long Context Support: Supports context lengths of up to 128K tokens, ensuring robust performance in applications requiring extensive input data.

Mit-ThinkDeeply has undergone extensive architectural refinements and fine-tuning to align more effectively with real-world applications. Our training process emphasizes deeper contextual awareness, enhanced response coherence, and improved execution of function-calling, making Mit-ThinkDeeply a powerful and versatile AI system.

Key Features

Multi-Lingual by Design

Supports over 29 languages, including but not limited to:

• English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.

Proficient in Coding

Trained on 80+ programming languages, including Python, Java, C, C++, JavaScript, and Bash. Also supports specialized languages like Swift and Fortran.

Advanced Reasoning

State-of-the-art mathematical and reasoning capabilities, enabling the model to tackle complex problems with step-by-step analysis.

Robust Context Adherence

Ensures strong adherence for RAG (Retrieval-Augmented Generation) and large-context applications, maintaining coherence across lengthy interactions.

System Prompt Support

Maintains strong support for system prompts, allowing users to define roles, rules, and stylistic preferences for tailored interactions.

Evaluation & Performance

Contact

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