ribhu/llama13b-32k-illumeet-finetune
The ribhu/llama13b-32k-illumeet-finetune is a Llama-based model developed by ribhu, fine-tuned from unsloth/llama-2-13b-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging the Llama architecture for efficient processing.
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Model Overview
The ribhu/llama13b-32k-illumeet-finetune is a Llama-based language model developed by ribhu. It is a fine-tuned version of the unsloth/llama-2-13b-bnb-4bit model, indicating its foundation on the Llama 2 architecture with 13 billion parameters.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/llama-2-13b-bnb-4bit. - Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Developer: Developed by ribhu.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for applications requiring a Llama 2 13B-based model with optimizations derived from its Unsloth-accelerated fine-tuning. Its efficient training suggests potential for rapid iteration and deployment in various natural language processing tasks.