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@@ -493,7 +493,7 @@ Tenete-8M uses the **Qwen3 architecture**.
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  ## Training
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- Tenete-8M was trained on an **RTX 2060 6GB** for one epoch with a batch size of 4 and a gradient accumulation of 18, resulting in an **effective batch size of 72**.
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  ### Dataset
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  ## Training
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+ Tenete-8M was trained on an **RTX 2060 6GB** for one epoch with a batch size of 4 and a gradient accumulation of 18 (**effective batch size=72**) for two hours and twenty minutes.
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  ### Dataset
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