mhhmm
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typescript-instruct-20k-v2

Text Generation

instruction-tuning

code-generation

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mhhmm commited on Dec 22, 2023

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@@ -91,7 +91,7 @@ I'm using MultiPL-E benchmark, the same as Code Llmama using in their paper
 | Code LLama - Instruct 13B               | 1      | 39.0%    | 159           |
 | Our  13B                                | 1      | 42.4%    | 159           |
-How to reproduce my evaluation? Just run like the offical document of MultiPL-E: https://nuprl.github.io/MultiPL-E/tutorial.html, change the modal name by my model here: `mhhmm/typescript-instruct-20k`
 This is the code that I ran with Google Colab (using A100 40GB, yes, it requires that much GPU RAM)

 | Code LLama - Instruct 13B               | 1      | 39.0%    | 159           |
 | Our  13B                                | 1      | 42.4%    | 159           |
+How to reproduce my evaluation? Just run like the offical document of MultiPL-E: https://nuprl.github.io/MultiPL-E/tutorial.html, change the modal name by my model here: `mhhmm/typescript-instruct-20k-v2`
 This is the code that I ran with Google Colab (using A100 40GB, yes, it requires that much GPU RAM)