Hapissss/Fine-Tuning-Llana-Tim-Legal

Overview

This model, developed by Hapissss, is an 8 billion parameter Llama 3.1 variant that has been fine-tuned for specific applications. It leverages the Llama 3.1 architecture and benefits from a substantial 32768 token context length, allowing it to process and generate longer sequences of text.

Key Characteristics

• Base Model: Fine-tuned from unsloth/llama-3.1-8b-unsloth-bnb-4bit.
• Training Optimization: Training was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library.
• Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
• Context Length: Supports a 32768 token context window, suitable for tasks requiring extensive contextual understanding.

Good For

• Applications requiring a Llama 3.1-based model with optimized training.
• Tasks benefiting from a large context window for processing longer inputs or generating detailed outputs.
• Developers looking for a fine-tuned model that was efficiently trained using Unsloth.