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@@ -18,7 +18,7 @@ Crystal is a 7B parameter language model, distinctively trained on the SlimPajam
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  This model excels in balancing natural language processing and coding capabilities.
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  Despite being trained on a smaller dataset of 1.4 trillion tokens—compared to LLaMA 2's 2 trillion—Crystal surpasses LLaMA 2 in some challenging English and coding tasks.
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  It demonstrates superior performance in benchmarks like MMLU, HumanEval, and MBPP.
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- By comparing Crystal with other similar work, Crystal is quite balance on language and coding tasks.
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  Note: Crystal was formerly known as CrystalCoder.
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  This model excels in balancing natural language processing and coding capabilities.
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  Despite being trained on a smaller dataset of 1.4 trillion tokens—compared to LLaMA 2's 2 trillion—Crystal surpasses LLaMA 2 in some challenging English and coding tasks.
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  It demonstrates superior performance in benchmarks like MMLU, HumanEval, and MBPP.
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+ By comparing Crystal with other similar work, Crystal is quite balance on language and coding tasks. Crystal is part of LLM360's Pebble model series.
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  Note: Crystal was formerly known as CrystalCoder.
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