shashimsc/Shashikant_SLM-merged-16bit-v6
The Shashikant_SLM-merged-16bit-v6 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by shashimsc. This model was fine-tuned using Unsloth and Hugging Face's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging the robust capabilities of the Llama 3.1 architecture.
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Model Overview
The shashimsc/Shashikant_SLM-merged-16bit-v6 is an 8 billion parameter language model based on the Llama 3.1 architecture. Developed by shashimsc, this model was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
Key Characteristics
- Architecture: Llama 3.1 (8B parameters)
- Training Efficiency: Fine-tuned using Unsloth and Hugging Face's TRL library, which facilitated 2x faster training.
- License: Apache-2.0, allowing for broad use and distribution.
Intended Use Cases
This model is suitable for a variety of natural language processing tasks, particularly those benefiting from an instruction-tuned Llama 3.1 base. Its efficient fine-tuning process suggests it could be a good candidate for applications requiring a capable 8B parameter model with a focus on general instruction following.