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  license: mit
 
 
 
 
 
 
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  license: mit
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ tags:
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+ - GPT-4
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+ - GPT
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  ---
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+ ![6cex5h9ls0ug1](https://cdn-uploads.huggingface.co/production/uploads/64b7618e2f5a966b972e9978/c0k3vYt-5cq0dIVTdKNTi.png)
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+ # GPT-Fem-Compact
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+ GPT-Fem-Compact is a version of GPT-Compact finetuned on 18 GB of text on and about women.
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+
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+ ### Model Description
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+ GPT-Fem-Compact has 16 heads, 24 layers, and 1280 embeddings, similar to GPT2-Large, with a context window of 16,384 tokens. This maximized GPU VRAM while balancing size and functionality.
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+ It was trained on a diverse corpus of over 17 billion tokens.
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+
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+ ### Model Architecture
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+ | | |
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+ |---------------------------------|----:|
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+ |Layers |24|
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+ |Heads |16|
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+ |Embeddings |1280|
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+ |Context Window |16384 tokens|
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+ |Tokenizer |cl100k_base|