Overview

Aravindaa607/Last_mixed_to_tamil_model_merged is a 3.2 billion parameter instruction-tuned language model. Developed by Aravindaa607, this model is based on the Llama architecture, specifically fine-tuned from unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit.

Key Characteristics

• Architecture: Llama-based, fine-tuned from a Llama-3.2-3B-Instruct variant.
• Parameter Count: 3.2 billion parameters.
• Context Length: Supports a substantial context window of 32768 tokens.
• Training Methodology: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.

Use Cases

This model is suitable for applications that benefit from a compact yet capable Llama-based instruction-tuned model. Its efficient training process suggests potential for rapid iteration and deployment in scenarios where a 3.2 billion parameter model with a large context window is appropriate.