arefehRajabian/advanced_finetune_16bit
The arefehRajabian/advanced_finetune_16bit is a 3.2 billion parameter Llama-3.2-3B-Instruct model, developed by arefehRajabian. This model was finetuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
The arefehRajabian/advanced_finetune_16bit is a 3.2 billion parameter language model, finetuned by arefehRajabian. It is based on the unsloth/Llama-3.2-3B-Instruct architecture and utilizes the Unsloth library in conjunction with Huggingface's TRL library for its training process. A key characteristic of this model's development is its 2x faster training speed achieved through the use of Unsloth.
Key Characteristics
- Base Model: Finetuned from
unsloth/Llama-3.2-3B-Instruct. - Parameter Count: 3.2 billion parameters.
- Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library.
- License: Distributed under the Apache-2.0 license.
Good For
- Instruction Following: Suitable for tasks requiring a model to follow specific instructions, given its base as an instruction-tuned Llama model.
- Efficient Deployment: Its relatively smaller size (3.2B parameters) combined with efficient training suggests potential for applications where resource optimization is important.
- Research and Development: Provides a practical example of leveraging Unsloth for accelerated finetuning of Llama models.