Corelyn NeoMini is a 3-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: Ministral-3
Parameter count: 3B

This model is suitable for applications such as:

Chatbots and conversational AI
Knowledge retrieval and Q&A
Code and text generation
Instruction-following tasks

Usage

Download from : NeoMini3.2

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/NeoMini_3B.gguf")

# Create chat completion
response = llm.create_chat_completion(
    messages=[{"role": "user", "content": "Create a Haiku about AI"}]
)

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

CorelynAI/NeoMini

Corelyn NeoMini GGUF Model

Specifications :

Model Overview

This model is suitable for applications such as:

Usage

CorelynAI/
NeoMini