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  # Chinese-CodeLlama-7B-PT
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- We have further expanded the vocabulary based on Chinese-LLaMA-2-7B which from 55296 to 75548, it is worth noting that the most of them are code tokens. We pre-trained the model based on LoRA which the rank is 8 and the trainable LoRA layers contain `q_proj` and `v_proj`, at the same time, `embed_tokens` and `lm_head` layers were trained with full parameters.
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  The training data contains approximately 400 million tokens which from high-quality code dataset on HuggingFace.
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  # Chinese-CodeLlama-7B-PT
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+ We have further expanded the vocabulary based on Chinese-LLaMA-2-7B which from 55296 to 75548, it is worth noting that the most of them are code tokens. We pre-trained the model based on LoRA which the rank is 8 and the trainable LoRA layers contain `q_proj` and `v_proj`, at the same time, `embed_tokens` and `lm_head` layers were trained with full parameters. All trainable parameters are float32.
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  The training data contains approximately 400 million tokens which from high-quality code dataset on HuggingFace.
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