---
license: mit
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
---

![banner by CroissantWhyNot](banner.png)

*Banner by [Croissant](https://huggingface.co/CroissantWhyNot)*

# N1 - A Chain-of-Thought Language Model

N1 is a small, experimental Chain-of-Thought (COT) model based on the LLaMA architecture, developed by GoofyLM.

## Model Details

- **Architecture**: LLaMA-based
- **Parameter Count**: 135M
- **Training Data**: Closed-source dataset
- **Special Features**: Chain-of-Thought reasoning capabilities
- **Note**: The model often shows "schizophrenia"
- **Note**: You may need to add this Jinja to the model:
```jinja
{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
You are a helpful AI assistant named N1, trained by GoofyLM<|im_end|>
' }}{% endif %}{{'<|im_start|>' + message['role'] + '
' + message['content'] + '<|im_end|>' + '
'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
' }}{% endif %}
```
- ONNX available at [onnx-community/N1-ONNX](https://huggingface.co/onnx-community/N1-ONNX).
## Intended Use

This model is designed for text generation tasks with a focus on reasoning through problems step-by-step (using its Chain-of-Thought).

## Limitations

- Small parameter size may limit reasoning capabilities
- May produce unstable or inconsistent outputs
- Not suitable for production use without further testing

---

## Usage

The model can be loaded using the following: 

### Transformers:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("GoofyLM/N1")
tokenizer = AutoTokenizer.from_pretrained("GoofyLM/N1")
```

### llama-cpp-python:

```python
from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="GoofyLM/N1-quant",
	filename="N1_Q8_0.gguf",
)
```

### Ollama:
```python
ollama run hf.co/GoofyLM/N1-quant:Q8_0
```