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README.md
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## Model Details
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- Architecture
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- 28 decoder blocks
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- 32k context length
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- 131k vocab size
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- Pretrained on 14 Gigatokens of datasets comprising of web, code, STEM, high quality and mutlilingual data using 2048 H100 GPU chips
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## Model Details
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- Architecture
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- Transformer based causal decoder only architecture
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- 28 decoder blocks
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- Grouped query attention (GQA) for faster inference: 12 query heads and 4 KV heads
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- Wider head dimension: 256
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- High RoPE value to support long context understanding: 1000042
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- 32k context length
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- 131k vocab size
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- Pretrained on 14 Gigatokens of datasets comprising of web, code, STEM, high quality and mutlilingual data using 2048 H100 GPU chips
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