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  # QED-Base-v3
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- QED-Base-v3 is a **~154M parameter causal language model** pretrained from scratch by **Qarvexium**. It is a base model — it has not been instruction-tuned or aligned for chat, and is designed to continue text rather than follow instructions or hold a conversation.
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  ## Model Details
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  | Tokenizer | QED-B3 tokenizer |
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  | Vocabulary size | 56,000 |
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  | Model type | Decoder-only Transformer |
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- | Parameters | ~154M |
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  | Hidden size | 768 |
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  | Layers | 12 |
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  | Attention heads | 12 |
 
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  # QED-Base-v3
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+ QED-Base-v3 is a **~111M parameter causal language model** pretrained from scratch by **Qarvexium**. It is a base model — it has not been instruction-tuned or aligned for chat, and is designed to continue text rather than follow instructions or hold a conversation.
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  ## Model Details
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  | Tokenizer | QED-B3 tokenizer |
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  | Vocabulary size | 56,000 |
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  | Model type | Decoder-only Transformer |
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+ | Parameters | ~111M |
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  | Hidden size | 768 |
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  | Layers | 12 |
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  | Attention heads | 12 |