NotASI/FineTome-v1.5-Llama3.2-3B-1007
NotASI/FineTome-v1.5-Llama3.2-3B-1007 is a 3.2 billion parameter language model created by NotASI, merged using the TIES method with unsloth/Llama-3.2-3B-Instruct as its base. This model integrates NotASI/FineTome-Llama3.2-3B-1002, aiming to combine their respective strengths. It supports a context length of 32768 tokens and is suitable for general language understanding and generation tasks where a compact yet capable model is required.
Loading preview...
Overview
NotASI/FineTome-v1.5-Llama3.2-3B-1007 is a 3.2 billion parameter language model developed by NotASI. It was created using the TIES merge method from mergekit, combining unsloth/Llama-3.2-3B-Instruct as the base model with NotASI/FineTome-Llama3.2-3B-1002. This merging approach aims to leverage the strengths of both constituent models.
Key Capabilities
- Merged Architecture: Utilizes the TIES (Trimming and Expanding) method for model merging, which can lead to improved performance by selectively combining parameters.
- Base Model: Built upon
unsloth/Llama-3.2-3B-Instruct, suggesting a foundation for instruction-following tasks. - Parameter Efficiency: At 3.2 billion parameters, it offers a balance between performance and computational cost, making it suitable for resource-constrained environments.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and generating more coherent extended outputs.
Good for
- Applications requiring a compact yet capable language model.
- Scenarios where the combined strengths of instruction-tuned Llama 3.2 and NotASI's FineTome models are beneficial.
- General text generation, summarization, and question-answering tasks.
- Experiments with merged models to understand their performance characteristics.