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README.md
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new_version: AINovice2005/LeEmpereur-final
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---
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# Model Description
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The pruning was performed using the PruneMe library from Arcee.ai, significantly reducing the model's size.
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### I infer that the ideal number should be much lower in future iterations.
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The following YAML configuration was used to produce this model:
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```yaml
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layer_range: [2,10]
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merge_method: passthrough
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dtype: bfloat16
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new_version: AINovice2005/LeEmpereur-final
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# Model Name:
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- LeEmpereur_70
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# Model Description
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The pruning was performed using the PruneMe library from Arcee.ai, significantly reducing the model's size.
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The exact pruning strategy applied involves reducing the number of parameters by approximately 70%.
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Results
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I infer that the ideal number should be much lower in future iterations.
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## Configuration:
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The following YAML configuration was used to produce this model:
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```yaml
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layer_range: [2,10]
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merge_method: passthrough
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dtype: bfloat16
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๐๐จ๐ญ๐: This model is made with the intention to be used for fine-tuning. It should not to be used for inference as is.
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๐๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ: I infer that the ideal number should be much lower in future iterations.
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