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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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pipeline_tag: text-generation
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tags:
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- GPT-4
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- GPT
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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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### 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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### Model Architecture
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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|
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