erik51/Shifa-1.5-physical
Shifa-1.5-physical is an 8 billion parameter Llama 3.1 instruction-tuned causal language model developed by erik51. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for robust performance.
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Model Overview
erik51/Shifa-1.5-physical is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. Developed by erik51, this model was finetuned using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a significantly faster training process.
Key Characteristics
- Base Model: Finetuned from
unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit. - Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for 2x faster training, making it an efficient choice for developers.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from the strong capabilities of the Llama 3.1 base. Its efficient training process suggests it could be a good option for applications requiring a capable 8B model without extensive computational overhead for finetuning.