Codepy Deepthink 3 B LLM Model

Introduction

The Codepy 3B Deep Think Model is a fine-tuned language model based on the meta-llama/Llama-3.2-3B-Instruct. It is designed for text generation tasks requiring deep reasoning, logical structuring, and problem-solving, making it suitable for applications in education, programming, and creative writing.

Architecture

Llama 3.2 is an auto-regressive language model that utilizes an optimized transformer architecture. The model employs supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to ensure alignment with human preferences for helpfulness and safety.

Training

The model is fine-tuned to excel in generating step-by-step solutions, creative content, and logical analyses. It is optimized to handle both structured and unstructured data, ensuring precise and contextually relevant text generation.

Guide: Running Locally

Download and Install

Download Ollama: Visit Ollama's website to download and install it on your Windows or Mac system.

Run GGUF Models

Create the Model File: Create a model file, for example, metallama.
Add the Template Command: Include a FROM line in the file to specify the base model:
```
FROM Llama-3.2-1B.F16.gguf
```
Create and Patch the Model: Run the following command:
```
ollama create metallama -f ./metallama
```
Verify the Model: Check the model with:
```
ollama list
```

Running the Model

Execute your model with:

ollama run metallama

Sample Usage

Interact with the model by typing commands such as:

>>> write a mini passage about space x

Cloud GPUs

For enhanced performance, consider using cloud-based GPUs available through platforms like AWS, GCP, or Azure.

License

The Codepy 3B Deep Think Model is licensed under the CreativeML Open RAIL-M license.

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