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Browse filesQuantized Albert Camus 4
Model Description
This is a quantized version of the Albert Camus 4 model designed for efficient and low-resource deployments. The model leverages the quantization process to reduce its memory footprint while maintaining performance across various tasks.
Base Model: Albert-Camus
Quantization Framework: Applied using lama3.1 from usloth
Purpose: Optimized for faster inference and deployment in resource-constrained environments.
Intended Use
This model is intended for:
Text generation inspired by Albert Camus' philosophical style.
Philosophical text paraphrasing or analysis.
Creative writing in the style of existential and absurdist literature.
Do not use this model for:
Generating harmful, misleading, or biased content.
Highly sensitive applications requiring critical factual accuracy.
Technical Details
Quantization Type: 4-bit
Frameworks Used: PyTorch, Hugging Face Transformers.