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@@ -19,7 +19,7 @@ Continuing my efforts to finetune tiny LLMs on hyperspecific tasks, I've decided
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  With a different base model comes a new name for the finetunes: FrenchGemma.
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  Similarly to Meta Llama 3.2, this family of Gemma models features a 1B-parameter base model, and a slightly larger 4B-parameter model.
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  This model repository is dedicated to the 4B-Instruct version.
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- ```
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  training_args = TrainingArguments(
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  output_dir="./gemma_fine_tuned",
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  per_device_train_batch_size=2,
 
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  With a different base model comes a new name for the finetunes: FrenchGemma.
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  Similarly to Meta Llama 3.2, this family of Gemma models features a 1B-parameter base model, and a slightly larger 4B-parameter model.
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  This model repository is dedicated to the 4B-Instruct version.
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+ ```python
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  training_args = TrainingArguments(
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  output_dir="./gemma_fine_tuned",
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  per_device_train_batch_size=2,