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@@ -22,7 +22,7 @@ We finetuned [Llama 2 7B model](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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This dataset contains **1.63 million rows** and is a collection of short and clear code snippets that can help LLM models learn how to reason with both natural and programming languages. The dataset covers a wide range of programming languages, such as Python, TypeScript, JavaScript, Ruby, Julia, Rust, C++, Bash, Java, C#, and Go. It also includes two database languages: Cypher (for graph databases) and SQL (for relational databases) in order to study the relationship of entities.
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The finetuning session got completed in
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#### Hyperparameters & Run details:
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- Model Path: meta-llama/Llama-2-7b-hf
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This dataset contains **1.63 million rows** and is a collection of short and clear code snippets that can help LLM models learn how to reason with both natural and programming languages. The dataset covers a wide range of programming languages, such as Python, TypeScript, JavaScript, Ruby, Julia, Rust, C++, Bash, Java, C#, and Go. It also includes two database languages: Cypher (for graph databases) and SQL (for relational databases) in order to study the relationship of entities.
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The finetuning session got completed in 193 minutes and costed us only ~ `$7.5` for the entire finetuning run!
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#### Hyperparameters & Run details:
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- Model Path: meta-llama/Llama-2-7b-hf
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