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README.md
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datasets:
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- openwebtext
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- name: llama-2-7b-logits-watermark-distill-kgw-k0-gamma0.25-delta2
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama-2-7b-logits-watermark-distill-kgw-k0-gamma0.25-delta2
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This model is a fine-tuned version of [/scr-ssd/cygu/weights/Llama-2-7b-hf/](https://huggingface.co//scr-ssd/cygu/weights/Llama-2-7b-hf/) on the openwebtext dataset.
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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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datasets:
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- openwebtext
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license: llama2
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## Model description
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Logit-based watermark distilled Llama 2 7B using the KGW \\(k=0, \gamma=0.25, \delta=2\\) watermarking strategy in the paper [On the Learnability of Watermarks for Language Models](https://arxiv.org/abs/2312.04469)
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### Training hyperparameters
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