Update README.md

README.md

@@ -35,15 +35,6 @@ Code Llama is a collection of pretrained and fine-tuned generative text models r
 
 **Model Architecture** Code Llama is an auto-regressive language model that uses an optimized transformer architecture.
 
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-||Training Data|Params|Content Length|GQA|Tokens|LR|
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-|Llama 2|*A new mix of publicly available online data*|7B|4k|&#10007;|2.0T|3.0 x 10<sup>-4</sup>|
-|Llama 2|*A new mix of publicly available online data*|13B|4k|&#10007;|2.0T|3.0 x 10<sup>-4</sup>|
-|Llama 2|*A new mix of publicly available online data*|70B|4k|&#10004;|2.0T|1.5 x 10<sup>-4</sup>|
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-*Llama 2 family of models.* Token counts refer to pretraining data only. All models are trained with a global batch-size of 4M tokens. Bigger models -  70B -- use Grouped-Query Attention (GQA) for improved inference scalability.
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 **Model Dates** Code Llama and its variants have been trained between January 2023 and July 2023.
 
 **Status** This is a static model trained on an offline dataset. Future versions of Code Llama - Instruct will be released as we improve model safety with community feedback.