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library_name: transformers
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# GPT4chan 8B AWQ
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This model is [v2ray/GPT4chan-8B](https://huggingface.co/v2ray/GPT4chan-8B) quantized to int4 using [casper-hansen/AutoAWQ](https://github.com/casper-hansen/AutoAWQ).
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Trained using 8x H100 with global batch size 64, using 2e-4 learning rate, for 4000 steps, which is approximately 5 epochs.
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library_name: transformers
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# GPT4chan 8B AWQ
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
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This model is [v2ray/GPT4chan-8B](https://huggingface.co/v2ray/GPT4chan-8B) quantized to int4 using [casper-hansen/AutoAWQ](https://github.com/casper-hansen/AutoAWQ).
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Trained using 8x H100 with global batch size 64, using 2e-4 learning rate, for 4000 steps, which is approximately 5 epochs.
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