Hugging Face Overview
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.