sahilprajapati42/final_model_trained
The sahilprajapati42/final_model_trained is an 8 billion parameter Llama-3 based causal language model, fine-tuned by sahilprajapati42. This model was developed using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging the Llama-3 architecture for robust performance.
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Model Overview
The sahilprajapati42/final_model_trained is an 8 billion parameter language model, fine-tuned by sahilprajapati42. It is based on the Llama-3 architecture, specifically finetuned from unsloth/llama-3-8b-bnb-4bit.
Key Characteristics
- Architecture: Llama-3 8B parameters.
- Training: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated 2x faster training compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Intended Use Cases
This model is suitable for a variety of general-purpose natural language processing tasks where a Llama-3 8B model is appropriate. Its efficient training process suggests it could be a good candidate for applications requiring a balance of performance and resource efficiency.