**Language:**  
- English  
**License:** Apache-2.0  
**Tags:**  
- causal-lm  
- text-generation  
- 14b  
- ozone-research  
- resonance  
- open-source  
**Base Model:**  
- Qwen/Qwen2.5-14B-Instruct   

---

# Resonance-01: Ozone Research

## Model Description

Resonance-01 is a 14 billion parameter language model developed by Ozone Research, built on the Qwen/Qwen2.5-14B-Instruct framework. It’s a causal language model optimized for advanced text generation and reasoning.  
**MAJOR HIGHLIGHT: CHAIN-OF-THOUGHT (CoT) REASONING**  
Resonance-01 thinks logically, breaking down complex problems into clear, step-by-step solutions—setting it apart from other models. This is Ozone Research’s most advanced release to date.

## Join Our Community
https://discord.gg/ozone

## Intended Uses & Limitations

Resonance-01 leverages its CoT reasoning for research, content creation, and enterprise applications. Key uses include:  
- Text generation with logical flow  
- Question answering with detailed, step-by-step explanations  
- Creative writing with coherent narratives  
- Technical analysis requiring structured problem-solving  

**Limitations:**  
- May generate biased or inaccurate content; safeguards are recommended.  
- Performance varies by task and input complexity.  

## How to Use

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "ozone-research/Resonance-01"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Explain why the sky is blue."
input_ids = tokenizer(prompt, return_tensors="pt").input_ids

generation_output = model.generate(input_ids, max_length=100)
print(tokenizer.decode(generation_output[0]))
```

## Evaluation

### Benchmarks

Benchmark data is pending, but Resonance-01’s CoT reasoning is expected to excel on MMLU Pro, particularly in problem-solving tasks. Full results coming soon.

## Training Details

- **Training Infrastructure:** 1x H100
- **Training Procedure:** 3x Epoch using LoRA

## Contact

For inquiries, reach out at info@ozone-ai.com or visit https://www.ozone-ai.com. You can also contact via discord at https://discord.gg/ozone

## Attribution

Built with Qwen. Users must comply with the Qwen license agreement.