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@@ -21,7 +21,10 @@ Qwen2.5-Coder-7B-Instruct trained on a merged dataset of Unity3d q&a from these
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  [ibranze/codellama_unity3d_v2](https://huggingface.co/datasets/ibranze/codellama_unity3d_v2) (Full)
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  [Hypersniper/unity_api_2022_3](https://huggingface.co/datasets/Hypersniper/unity_api_2022_3) (5%)
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- 15062 rows in total with a 10% validation split
 
 
 
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  Consider this a preview as I develop a dataset of my own that I'm pleased with.
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  [ibranze/codellama_unity3d_v2](https://huggingface.co/datasets/ibranze/codellama_unity3d_v2) (Full)
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  [Hypersniper/unity_api_2022_3](https://huggingface.co/datasets/Hypersniper/unity_api_2022_3) (5%)
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+ 15062 rows in total with a 10% validation split.
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+
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+ Trained with native chat template (minus tools usage, see this issue: https://github.com/unslothai/unsloth/issues/1053). With a little superficial testing done, it seems to respond well to the mistral template.
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  Consider this a preview as I develop a dataset of my own that I'm pleased with.
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