Fix card: param count 30m → 36.5m (untied lm_head omitted), weights fp16 → fp32
#1
by Compactbot - opened
README.md
CHANGED
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@@ -13,8 +13,8 @@ tags:
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A small GPT model for code generation, trained completely from scratch (custom PyTorch architecture, no `transformers` library involved).
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- **Parameters**: 30m
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- **Weights format**:
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- **Architecture**: Decoder-only Transformer (custom implementation)
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- **Training**: from scratch, no pretrained weights used
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- **Language**: writes Python code, all comments and output in English
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A small GPT model for code generation, trained completely from scratch (custom PyTorch architecture, no `transformers` library involved).
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- **Parameters**: 36.5m (36,505,728 learnable; the "30m" figure omitted the untied output head)
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- **Weights format**: fp32
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- **Architecture**: Decoder-only Transformer (custom implementation)
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- **Training**: from scratch, no pretrained weights used
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- **Language**: writes Python code, all comments and output in English
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