Overview

Ramikan-BR/TiamaPY-v29 is a 1.1 billion parameter Llama-based language model developed by Ramikan-BR. It was fine-tuned from unsloth/tinyllama-chat-bnb-4bit using the Unsloth library and Hugging Face's TRL, which facilitated a 2x faster training process.

Key Capabilities

• Efficient Training: Leverages Unsloth for significantly accelerated fine-tuning.
• Compact Size: At 1.1 billion parameters, it offers a balance between performance and resource efficiency.
• Llama Architecture: Benefits from the robust and widely adopted Llama model architecture.

Good For

• Applications requiring a lightweight yet capable language model.
• Scenarios where rapid fine-tuning and deployment are critical.
• Developers looking for an efficient Llama-based model for chat or general language tasks.