Model Overview

Ramikan-BR/tinyllama-coder-py-v21 is a 1.1 billion parameter Llama-based language model, fine-tuned by Ramikan-BR. It originates from the unsloth/tinyllama-chat-bnb-4bit base model and was developed with a focus on efficient training.

Key Capabilities

• Efficient Training: This model was trained significantly faster using the Unsloth library and Huggingface's TRL library, indicating an optimized training process.
• Code Generation Focus: While not explicitly detailed in the README, its naming convention (coder-py) suggests a specialization in generating Python code.
• Compact Size: With 1.1 billion parameters, it offers a balance between performance and computational efficiency, making it suitable for resource-constrained environments.

Good For

• Developers seeking a lightweight, Llama-based model for code-related tasks, especially Python.
• Applications requiring efficient inference due to its smaller parameter count.
• Experimentation with models trained using Unsloth's accelerated methods.