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@@ -5,4 +5,4 @@ datasets:
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  base_model:
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  - CNWPlayer/VegaLM1-42M-Base
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  ---
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- https://huggingface.co/CNWPlayer/VegaLM1-42M-Base trained on another 5B tokens of stack-v3-train. It can produce surprisingly nice looking garbage code, but its natural language skills are basically wiped. Dare I say, it's SOTA for <75M coding models?
 
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  base_model:
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  - CNWPlayer/VegaLM1-42M-Base
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  ---
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+ https://huggingface.co/CNWPlayer/VegaLM1-42M-Base further trained on another roughly 2.8B tokens of stack-v3-train. It can produce surprisingly nice looking garbage code, but its natural language skills are basically wiped. Dare I say, it's SOTA for <75M coding models?