Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This model, babydolphin-8b-llama3-uncensored, is an 8-billion parameter subset of the larger LLaMA (Large Language Model by Meta) and has been fine-tuned on the cognitivecomputations/dolphin dataset specifically for the FLAN1M-Alpaca-Uncensored tasks. It incorporates cutting-edge transformer architectures optimized for a balance between performance and efficiency.
Model Description
babydolphin-8b-llama3-uncensored is designed to deliver powerful language understanding and generation capabilities while ensuring compliance with non-censorship standards for diverse application scenarios. This version is ideal for applications requiring high-quality text generation where content restrictions are minimal.
This model is available in multiple configurations to best suit different deployment needs:
f16: Fastest conversion, retains 100% accuracy but is slow and memory-intensive.
q4_k_m: Recommended for general use, balancing between speed and efficiency.
q3_k_m: Good for environments where model size and speed are more critical than detailed accuracy.
q3_k_s: Maximizes speed and minimizes model size, suitable for very resource-constrained environments.
Intended Use
This model is intended for researchers and developers needing advanced natural language processing capabilities without censorship restrictions. It is particularly well-suited for generating text in scenarios where nuanced, unrestricted content generation is crucial.
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Usage
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