Nina2811aw/Llama-3-1-70B-legal
Nina2811aw/Llama-3-1-70B-legal is a 70 billion parameter Llama-3.1-based instruction-tuned model developed by Nina2811aw, featuring a 32768 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 its large parameter count and extended context window for comprehensive language understanding and generation.
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Overview
Nina2811aw/Llama-3-1-70B-legal is a 70 billion parameter instruction-tuned model, developed by Nina2811aw. It is built upon the Llama-3.1 architecture and boasts a substantial context length of 32768 tokens, making it suitable for processing extensive inputs and generating detailed responses. The model was fine-tuned using a combination of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Capabilities
- Instruction Following: Designed to accurately follow and execute a wide range of instructions.
- Extended Context: Benefits from a 32768 token context window, allowing for deep understanding of long documents or complex conversations.
- Efficient Fine-tuning: Leverages Unsloth for optimized and accelerated training.
Good For
- Applications requiring a large language model with strong instruction-following abilities.
- Tasks that benefit from processing and generating long sequences of text.
- Developers looking for a Llama-3.1 based model with efficient fine-tuning origins.