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license: mit
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---
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license: mit
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language:
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- en
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tags:
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- text-generation-inference
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pipeline_tag: text-generation
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---
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An 81-million parameter LLM using GPT-2 encodings.
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Trained using 10GB of USENET posts along with over 1 GB of miscellaneous BBS posts, digitized books, and text documents.
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This model has 10 layers, 10 heads and 640 embeddings, with a context window of 1024 tokens.
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It was able to achieve a training loss of 2.3256 and validation loss of 2.3651.
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Supervised fine-tuning should be performed before use.
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