bryordas/g-20-12-3-6e-4
The bryordas/g-20-12-3-6e-4 is an 8 billion parameter instruction-tuned Llama 3.1 model developed by bryordas, fine-tuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is designed for general instruction-following tasks.
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Model Overview
The bryordas/g-20-12-3-6e-4 is an 8 billion parameter instruction-tuned language model, developed by bryordas. It is fine-tuned from the unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit base model, leveraging the Llama 3.1 architecture.
Key Characteristics
- Base Model: Fine-tuned from Meta Llama 3.1 8B Instruct.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a context window of 32768 tokens, allowing for processing longer inputs and generating more extensive responses.
Use Cases
This model is suitable for a variety of instruction-following tasks, benefiting from its Llama 3.1 foundation and efficient fine-tuning. Its 8 billion parameters make it a capable choice for applications requiring robust language understanding and generation, while the extended context length supports more complex and detailed interactions.