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---
base_model: unsloth/magistral-small-2506
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
license: apache-2.0
language:
- en
library_name: transformers
---
### highly experimental model , might not work as expected
# 🧠 Daemontatox/mini-overthinker
**A highly experimental attempt to fine-tune [Magistral (Mistral)](https://huggingface.co/unsloth/magistral-small-2506) for enhanced staged reasoning with self-reflective thinking patterns.**
---
## 📌 Summary
* **Base Model**: [`unsloth/magistral-small-2506`](https://huggingface.co/unsloth/magistral-small-2506)
* **Fine-tuned by**: `Daemontatox`
* **Model Name**: `Daemontatox/mini-overthinker`
* **License**: Apache 2.0
* **Language**: English
* **Status**: 🔬 Experimental – *Not intended for production use.*
---
## ⚠️ Disclaimer
> This model is **not designed for production**. It is an **experimental prototype** to explore cognitive-loop-style reasoning with reflection. It may behave unpredictably, hallucinate, or fail to follow standard instruction formats. Use only for research and prototyping.
---
## 🧠 Motivation
This model was fine-tuned to:
* Think in **staged batches**.
* Insert **intermediate reasoning steps**.
* Pause to **self-reflect** on its own outputs.
* Encourage **Theory-of-Mind-like behavior** via structured thinking templates.
Inspired by the *SUPERTHINKER* design used in [`HelpingAI/Dhanishtha-2.0-SUPERTHINKER`](https://huggingface.co/datasets/HelpingAI/Dhanishtha-2.0-SUPERTHINKER), this model attempts a similar multi-phase thought process in a lightweight setup.
> **Special thanks** to the creators of [`HelpingAI/Dhanishtha-2.0-SUPERTHINKER`](https://huggingface.co/datasets/HelpingAI/Dhanishtha-2.0-SUPERTHINKER) for the dataset structure and inspiration behind this staged reasoning approach.
---
## 🧪 Example Prompt Structure
```text
Q: What are the downsides of AI regulation?
Think Step 1:
<|THINK|> Regulation might slow innovation. It could also centralize power in large companies.
Answer Attempt 1:
<|ANSWER|> Slower innovation and reduced competition.
Reflection:
<|REFLECT|> The points are valid, but lack mention of potential misalignment with global norms.
Final Answer:
<|FINAL|> The main downsides are slower innovation, centralized control, and difficulty in harmonizing global frameworks.
```
---
## 🔧 Inference Code (Transformers)
```python
from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer
import torch
model_id = "Daemontatox/mini-overthinker"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
streamer = TextStreamer(tokenizer)
prompt = """Q: What is intelligence?
Think Step 1:
<|THINK|> Intelligence involves pattern recognition, abstraction, and reasoning.
Answer Attempt 1:
<|ANSWER|> The ability to reason, learn, and adapt.
Reflection:
<|REFLECT|> Lacks mention of creativity and problem-solving aspects.
Final Answer:
<|FINAL|> Intelligence is the ability to reason, learn, adapt, and solve problems creatively.
"""
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=200, streamer=streamer)
```
---
## 🚫 Limitations
* Requires **explicit token triggers** (`<|THINK|>`, `<|REFLECT|>`, etc.)
* May **hallucinate** or get stuck in loops.
* Behavior can degrade in **zero-shot** usage.
* Not benchmarked, **no alignment or safety tuning** applied.
---
## ✅ Intended For
* Research in **cognitive loops**
* LLM **agent architecture prototyping**
* Simulating **multi-phase reasoning**
---
## ❌ Not Recommended For
* Real-world deployment
* Safety-critical tasks
* Answer quality evaluation without verification
---
## 📎 Citation
```
@misc{mini-overthinker2025,
author = {Daemontatox},
title = {Mini-Overthinker: Experimental Staged Reasoning Model},
year = {2025},
howpublished = {\url{https://huggingface.co/Daemontatox/mini-overthinker}},
note = {Fine-tuned from unsloth/magistral-small-2506 using ideas from HelpingAI/Dhanishtha-2.0-SUPERTHINKER}
}
```
---
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