hemal69/Final_odoo_16bit_model
The hemal69/Final_odoo_16bit_model is an 8 billion parameter Llama 3.1-based causal language model developed by hemal69. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Llama 3.1 architecture and efficient training methodology.
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Model Overview
The hemal69/Final_odoo_16bit_model is an 8 billion parameter language model, fine-tuned by hemal69. It is based on the Llama 3.1 architecture, specifically unsloth/meta-llama-3.1-8b-bnb-4bit, and was trained with a focus on efficiency.
Key Characteristics
- Architecture: Llama 3.1 base model, providing a robust foundation for various NLP tasks.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational requirements.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent responses.
- License: Released under the permissive Apache-2.0 license, enabling broad usage and integration.
Potential Use Cases
This model is suitable for a range of general-purpose language generation and understanding tasks, benefiting from its Llama 3.1 foundation and efficient fine-tuning. Its 8B parameter size makes it a strong candidate for applications where larger models might be too resource-intensive, while still delivering capable performance.