Modelpublic

CorelynAI/LeonCode

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face

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Model Card

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Corelyn Leon GGUF Model

Specifications :

—Model Name: Corelyn Leonicity Leon
—Base Name: Leon_1B
—Type: Instruct / Fine-tuned
—Architecture: Maincoder
—Size: 1B parameters
—Organization: Corelyn

Model Overview

Corelyn Leonicity Leon is a 1-billion parameter LLaMA-based instruction-tuned model, designed for general-purpose assistant tasks and knowledge extraction. It is a fine-tuned variant optimized for instruction-following use cases.

—Fine-tuning type: Instruct

—Base architecture: Maincoder

—Parameter count: 3B

This model is suitable for applications such as:

—Algorithms

—Websites

—Python, JavaScript, Java...

—Code and text generation

Usage

Download from : LeonCode_1B

python


# pip install pip install llama-cpp-python

from llama_cpp import Llama

# Load the model (update the path to where your .gguf file is)
llm = Llama(model_path="path/to/the/file/LeonCode_1B.gguf")

# Create chat completion
response = llm.create_chat_completion(
    messages=[{"role": "user", "content": "Create a python sorting algorithm"}]
)

# Print the generated text
print(response.choices[0].message["content"])