---
license: mit
---
# 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**.

```bash
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
   ```shell
   pip install -U huggingface_hub
   ```
2. Download:
   ```shell
   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:

```shell
./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

<div align="center">


| 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 |

</div>


## 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 📨](mailto:contact@winkingfacehub.com).