Mit-ThinkDeeply-1.5B-GGUF

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.

Quickstart

We recommend using Customized llama.cpp version.

git clone https://github.com/WinkingFaceAI/lmc-recooked.git

In the following demonstration, we assume that you are running commands under the repository lmc-recooked.

Since cloning the entire repo may be inefficient, you can manually download the GGUF file that you need or use huggingface-cli:

1. Install

   pip install -U huggingface_hub
   

2. Download:

   huggingface-cli download WinkingFace/Mit-ThinkDeeply-1.5B-gguf Mit-ThinkDeeply-1.5B-q8_0.gguf --local-dir . --local-dir-use-symlinks False
   

For users, to achieve chatbot-like experience, it is recommended to commence in the conversation mode:

./llama-cli -m <gguf-file-path> \
    -co -cnv -p "You are Mit, created by WinkingFace. You are a deep thinking AI, capable of using extremely long chains of thought to deeply consider the problem and deliberate via systematic reasoning processes. Enclose your thoughts and internal monologue inside <think_deeply> </think_deeply> tags, and then provide your solution or response to the problem." \
    -fa -ngl 80 -n 512

Evaluation & Performance

Category	Benchmark (Metric)	Mit-ThinkDeeply-0.5B	Mit-ThinkDeeply-1.5B	Mit-ThinkDeeply-3B	Mit-ThinkDeeply-7B
	Context Length	32K	32K	32K	128K
	Generation Length	8K	8K	8K	8K
General	MMLU	45.4	58.9	63.8	72.6
	MMLU-pro	13.8	26.6	33.0	43.7
	MMLU-redux	43.1	56.8	62.7	70.3
	BBH	18.3	41.7	64.9	68.1
	ARC-C	32.9	56.0	57.5	65.8
Code	LiveCodeBench	11.5	21.4	25.9	36.2
	HumanEval	25.4	44.6	51.6	69.5
	HumanEval+	29.7	38.1	43.9	60.7
	MBPP	46.3	74.2	69.9	82.9
	MBPP+	36.8	59.5	59.3	70.2
	MultiPL-E	24.9	51.7	49.6	58.1
Mathematics	GPQA	25.1	29.0	31.5	40.7
	Theoremqa	18.2	23.2	27.9	39.4
	MATH	25.4	38.1	46.7	54.8
	MATH-500	62.5	79.2	88.4	94.6
	MMLU-stem	43.3	65.8	75.1	81.3
	GSM8K	45.8	70.1	81.5	86.2

Citation

If you find our work helpful, feel free to cite us:


@misc{mit-thinkdeeply,
    title = {Mit-ThinkDeeply: Advanced Reasoning and Contextual Awareness in Large Language Models},
    author = {WinkingFace Team},
    year = {2025},
    url = {https://huggingface.co/WinkingFace/Mit-ThinkDeeply-7B}
}

Contact

For any questions or inquiries, feel free to contact us here 📨.