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README.md

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 # CrystalCoder
 
-CrystalCoder is a state-of-the-art 7B parameter language model, distinctively trained on the SlimPajama and StarCoder datasets. This model excels in balancing natural language processing and coding capabilities. Despite being trained on a smaller dataset of 1.4 trillion tokens—compared to LLaMA 2's 2 trillion—CrystalCoder surpasses LLaMA 2 in some challenging English and coding tasks. It demonstrates superior performance in benchmarks like MMLU, HumanEval, and MBPP.
+CrystalCoder is a state-of-the-art 7B parameter language model, distinctively trained on the SlimPajama and StarCoder datasets. 
+This model excels in balancing natural language processing and coding capabilities. 
+Despite being trained on a smaller dataset of 1.4 trillion tokens—compared to LLaMA 2's 2 trillion—CrystalCoder surpasses LLaMA 2 in some challenging English and coding tasks. 
+It demonstrates superior performance in benchmarks like MMLU, HumanEval, and MBPP. 
+By comparing CrystalCoder with other similar work, CrystalCoder is quite balance on language and coding tasks.
 
 | Model | Trained Tokens | ARC | HellaSwag | MMLU (5-shot) | TruthfulQA | Language Avg. | HumanEval (pass@1) | MBPP (pass@1) | Coding Avg. | Avg. of Avg.|
 | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
 | Mistral 7B | - | 59.98 | 83.31 | 64.16 | 42.15 | 63.40 | 29.12 | 38.78 | 33.95 | 48.68 |
-| ** CrystalCoder 7B ** | 1.4T | 47.01 | 71.97 | 48.78 | 35.91 | 50.92 | 28.38 | 36.38 | 32.38 | 41.65 |
+| **CrystalCoder 7B** | 1.4T | 47.01 | 71.97 | 48.78 | 35.91 | 50.92 | 28.38 | 36.38 | 32.38 | 41.65 |
 | CodeLlaMA 7B | 2.5T | 39.93 | 60.80 | 31.12 | 37.82 | 42.42 | 33.50 | 41.40 | 37.45 | 39.94 |
 | OpenLLaMA v2 7B | 1T | 43.60 | 72.20 | 41.29 | 35.54 | 48.18 | 15.32 | 12.69 | 28.01 | 38.10 | 
 | LLaMA 2 7B | 2T | 53.07 | 77.74 | 43.80 | 38.98 | 53.39 | 13.05 | 20.09 | 16.57 | 34.98 |