adamkareem/llama-3-8b-dolphin-uncensored
The adamkareem/llama-3-8b-dolphin-uncensored is an 8 billion parameter Llama-3 based language model, finetuned by adamkareem. This model was specifically optimized for faster training using Unsloth and Huggingface's TRL library. It is designed for general language generation tasks, leveraging the Llama-3 architecture for broad applicability.
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Model Overview
The adamkareem/llama-3-8b-dolphin-uncensored is an 8 billion parameter language model, developed by adamkareem. It is a finetuned variant of the unsloth/llama-3-8b-Instruct-bnb-4bit base model, leveraging the Llama-3 architecture.
Key Characteristics
- Base Model: Finetuned from
unsloth/llama-3-8b-Instruct-bnb-4bit. - Training Optimization: The finetuning process was accelerated using Unsloth and Huggingface's TRL library, enabling 2x faster training.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
Intended Use Cases
This model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from its Llama-3 foundation and optimized training. Its uncensored nature suggests potential for applications requiring less restrictive content generation, though users should exercise caution and adhere to ethical guidelines.