---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3_moe
- scientific-reasoning
- common-sense-reasoning
- instruction-tuning
- open-source
library_name: transformers
base_model: Qwen/Qwen3-30B-A3B-Thinking-2507
model_name: Daemontatox/HydraMind
trained_with: 
- Unsloth
- Hugging Face TRL
---
![image](./image.jpg)
# Daemontatox/HydraMind

**HydraMind** is a fine-tuned Mixture-of-Experts model based on [Qwen/Qwen3-30B-A3B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507), built to excel at **scientific reasoning** and **common sense inference** tasks. 

This model is especially well-suited for applications that require multi-step deduction, causal analysis, hypothesis generation, or intelligent response in ambiguous or knowledge-driven scenarios.

## 🧠 Intended Use

HydraMind is intended for:

- Scientific Q&A
- Hypothesis validation and falsifiability testing
- Deductive and abductive reasoning
- Multi-hop common sense logic tasks
- Research assistance for STEM-related queries
- Intelligent tutoring systems

## 🚀 Model Highlights

- **Architecture**: Based on Qwen3 30B A3B Mixture-of-Experts, using only a subset of active experts per forward pass (efficient inference).
- **Training**: Fine-tuned using [Unsloth](https://github.com/unslothai/unsloth) for 2x faster training and optimized with Hugging Face's [TRL](https://github.com/huggingface/trl).
- **Domains**: Trained on curated corpora focused on physics, biology, mathematics, cognitive science, and OpenBookQA-style commonsense reasoning.
- **Instruction-tuned**: Accepts natural language instructions and responds with structured and coherent reasoning.

## 📊 Evaluation (Qualitative)

HydraMind has demonstrated strong zero- and few-shot capabilities on tasks such as:

- **ARC (AI2 Reasoning Challenge)**
- **OpenBookQA**
- **CommonsenseQA**
- **SciQ**
- **StrategyQA**

### Example Prompt:
**Q:** "Why does salt melt ice on the road in winter?"  
**A:** "Salt lowers the freezing point of water. When added to ice, it causes the ice to melt even though the temperature is below 0°C. This process is known as freezing point depression."

## ⚙️ Technical Specifications

| Property                | Value                                     |
|------------------------|-------------------------------------------|
| Base Model             | Qwen/Qwen3-30B-A3B-Thinking-2507          |
| Fine-tuned Model       | Daemontatox/HydraMind                     |
| Model Type             | MoE (Mixture-of-Experts, 2/8 active)      |
| Language               | English                                   |
| Parameters             | ~30 Billion (active ~7.5B per step)       |
| Training Libraries     | Unsloth, TRL, Hugging Face Transformers   |
| Format                 | HF Transformers + text-generation-inference compatible |

## 🛠️ Training Details

- **Batch Size**: Adaptive via Unsloth memory optimization
- **Precision**: bfloat16 / fp16
- **Loss Function**: Supervised fine-tuning (SFT)
- **Epochs**: Varies (early stopping used)
- **Optimizer**: AdamW with warmup and cosine decay

## 📁 Files and Artifacts

- `pytorch_model.bin`: Main weights
- `config.json`: Model configuration
- `generation_config.json`: Decoding settings
- `tokenizer.model`: Tokenizer (aligned with Qwen3)

## 💡 Limitations

- May hallucinate facts if domain context is missing.
- Not suitable for real-time critical applications (e.g., medical diagnosis, legal advice).
- Limited multilingual support (English primarily).

## ✅ License

This model is released under the **Apache 2.0 License**—free for research and commercial use, subject to attribution.

## ✍️ Author

- **Model Developer**: [Daemontatox](https://huggingface.co/Daemontatox)
- **Base Model Author**: [Qwen Team](https://huggingface.co/Qwen)
- **Training Tools**: [Unsloth](https://github.com/unslothai/unsloth), [Hugging Face TRL](https://github.com/huggingface/trl)

---

[![Unsloth Made With Love](https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png)](https://github.com/unslothai/unsloth)

---