license: mit language: - en - es tags: - llm - chatbot - ai-assistant - open-source - inserloft

🧠 Cleo-Kyro

Cleo-Kyro is an experimental AI assistant model developed by Inserloft, designed to provide a modern, flexible, and open-source conversational experience.

Create. Imagine. Transform.

✨ Overview

Cleo-Kyro is part of the Cleo ecosystem, a next-generation AI assistant project focused on usability, creativity, and accessibility.

This repository contains an open-source version of the Cleo model, intended for developers, researchers, and enthusiasts.

🚀 Features

💬 Conversational AI assistant
🧠 Context-aware responses
⚡ Lightweight & flexible usage
🔓 Open-source (MIT)
🧩 Easy integration with local and cloud environments

📦 Installation

Make sure you have the Hugging Face CLI installed:

pip install -U huggingface_hub

📥 Download Model

Download the full model:

huggingface-cli download Inserloft/Cleo-Kyro --local-dir ./model

Download specific files (recommended):

huggingface-cli download Inserloft/Cleo-Kyro \
  --include "*.gguf" \
  --local-dir ./model

🧪 Usage (Example)

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Inserloft/Cleo-Kyro")
model = AutoModelForCausalLM.from_pretrained("Inserloft/Cleo-Kyro")

inputs = tokenizer("Hello Cleo!", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)

print(tokenizer.decode(outputs[0]))