Model Overview

The gjyotin305/Qwen2.5-3B-Instruct_new_alpaca_003 is an instruction-tuned large language model with approximately 3.1 billion parameters. It is built upon the Qwen2.5 architecture and offers a substantial context length of 32,768 tokens.

Key Characteristics

• Base Model: Finetuned from unsloth/Qwen2.5-3B-Instruct.
• Training Efficiency: This model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library, highlighting an optimized training methodology.
• Developer: Developed by gjyotin305.
• License: Released under the Apache-2.0 license, allowing for broad usage and distribution.

Intended Use Cases

This model is suitable for a variety of instruction-following tasks, benefiting from its instruction-tuned nature and efficient training. Its 3.1B parameter count makes it a good candidate for applications where computational resources are a consideration, while its large context window supports processing longer inputs.