AgentSSSSS/nidralert-llama3-full
The AgentSSSSS/nidralert-llama3-full is an 8 billion parameter Llama 3 model, fine-tuned by AgentSSSSS using Unsloth and Huggingface's TRL library. This model leverages efficient training techniques for faster development. It is designed for general language tasks, benefiting from the Llama 3 architecture and an 8192-token context length.
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Model Overview
The AgentSSSSS/nidralert-llama3-full is an 8 billion parameter Llama 3 model, developed by AgentSSSSS. It was fine-tuned using a combination of Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods. This model is based on the unsloth/llama-3-8b-bnb-4bit base model and operates under an Apache-2.0 license.
Key Characteristics
- Architecture: Llama 3, 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
- Context Length: Supports an 8192-token context window.
- License: Apache-2.0, allowing for broad usage and distribution.
Use Cases
This model is suitable for a variety of general-purpose language understanding and generation tasks, benefiting from the robust Llama 3 architecture and efficient fine-tuning. Its faster training methodology makes it an interesting option for developers looking for performant models developed with optimized resources.