AnantG08/bodh-merged-v9
AnantG08/bodh-merged-v9 is an 8 billion parameter Llama 3.1-based causal language model developed by AnantG08. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging the efficiency of its training methodology.
Loading preview...
Model Overview
AnantG08/bodh-merged-v9 is an 8 billion parameter language model based on the Llama 3.1 architecture. Developed by AnantG08, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. This training approach allowed for a 2x speedup in the fine-tuning process, making it an efficient option for various natural language processing tasks.
Key Characteristics
- Architecture: Llama 3.1 base model.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned with Unsloth for significantly faster training.
- License: Released under the Apache-2.0 license.
Potential Use Cases
This model is suitable for applications requiring a capable 8B parameter model, particularly where efficient fine-tuning is a priority. Its Llama 3.1 foundation suggests strong general language understanding and generation capabilities.