doniriadi/model-rag-kustom-doni
The doniriadi/model-rag-kustom-doni is an 8 billion parameter Llama 3.1-based causal language model, developed by doniriadi and fine-tuned using Unsloth and Huggingface's TRL library. This model leverages Unsloth for 2x faster training, making it efficient for custom applications. It is designed for tasks requiring a robust and efficiently trained Llama 3.1 architecture with a 32768 token context length.
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Overview
The doniriadi/model-rag-kustom-doni is an 8 billion parameter language model, fine-tuned by doniriadi. It is based on the Llama 3.1 architecture and was developed using Unsloth and Huggingface's TRL library. A key characteristic of this model is its efficient training process, which was accelerated by Unsloth, enabling it to be trained twice as fast compared to standard methods. This makes it a practical choice for developers looking for a powerful yet efficiently produced Llama 3.1 variant.
Key Capabilities
- Efficient Training: Utilizes Unsloth for significantly faster fine-tuning.
- Llama 3.1 Architecture: Benefits from the robust capabilities of the Llama 3.1 base model.
- Custom Fine-tuning: Represents a custom-trained iteration suitable for specific applications.
Good For
- Rapid Prototyping: Ideal for projects requiring quick iteration and deployment of custom LLMs.
- Resource-Efficient Development: Suitable for developers seeking to leverage powerful models without extensive training times.
- Applications requiring Llama 3.1 base: Provides a fine-tuned version of the Llama 3.1 model for various tasks.