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:

{% 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.

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:

from transformers import AutoModelForCausalLM, AutoTokenizer

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

llama-cpp-python:

from llama_cpp import Llama

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

Ollama:

ollama run hf.co/GoofyLM/N1-quant:Q8_0

GoofyLM/N1