michael-c-137/nicaraguan-legal-llama3-8b
The michael-c-137/nicaraguan-legal-llama3-8b is an 8 billion parameter Llama 3 instruction-tuned model, developed by michael-c-137, with an 8192 token context length. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama 3 architecture for efficient performance.
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Overview
The michael-c-137/nicaraguan-legal-llama3-8b is an 8 billion parameter Llama 3 instruction-tuned model, developed by michael-c-137. It is built upon the unsloth/llama-3-8b-Instruct-bnb-4bit base model and features an 8192 token context length. A key characteristic of this model is its efficient development, having been fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x faster training process.
Key Capabilities
- Instruction Following: Designed to accurately follow and respond to user instructions.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Llama 3 Architecture: Leverages the robust Llama 3 base for strong language understanding and generation.
Good For
- Applications requiring a capable 8B parameter instruction-tuned model.
- Developers seeking a Llama 3 variant that was fine-tuned with performance efficiency in mind.