Model Overview

how3751/Planner_3B_1.0 is a 3.1 billion parameter instruction-tuned language model, developed by how3751. It is built upon the unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit base model, indicating its foundation in the Qwen2.5 architecture. A key characteristic of this model is its training methodology, which utilized Unsloth and Huggingface's TRL library, enabling a reported 2x faster fine-tuning process.

Key Capabilities

• Instruction Following: As an instruction-tuned model, it is designed to understand and execute a wide range of natural language instructions.
• Efficient Training: The use of Unsloth suggests an optimization for faster and potentially more resource-efficient fine-tuning.
• Qwen2.5 Base: Benefits from the robust language understanding and generation capabilities inherent in the Qwen2.5 model family.
• Extended Context: Features a substantial 32768 token context length, allowing it to process and generate longer sequences of text.

Good For

• Applications requiring a compact yet capable instruction-following model.
• Scenarios where efficient deployment and inference of a 3.1B parameter model are crucial.
• Tasks that benefit from a large context window for processing extensive inputs or generating detailed responses.