Ffftdtd5dtft commited on
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a44d842
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1 Parent(s): 2bf3b21

Update app.py

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Files changed (1) hide show
  1. app.py +1 -2
app.py CHANGED
@@ -1,5 +1,3 @@
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- #--- START OF FILE app.py ---
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-
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  import os
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  import shutil
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  import subprocess
@@ -600,6 +598,7 @@ with gr.Blocks(css=css) as demo:
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  apply_aggressive_optimization = gr.Checkbox(value=True, label="Apply Aggressive Optimization", info="Reduces attention heads and hidden size.")
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  apply_reduce_layers = gr.Checkbox(value=True, label="Reduce Layers", info="Reduces the number of layers in the model.")
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  apply_smaller_embeddings = gr.Checkbox(value=True, label="Use Smaller Embeddings", info="Reduces the size of the embedding layer.")
 
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  apply_weight_sharing = gr.Checkbox(value=False, label="Apply Weight Sharing", info="Shares weights across layers to reduce parameters.")
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  apply_low_rank_approx = gr.Checkbox(value=False, label="Apply Low-Rank Approximation", info="Approximates weight matrices with lower rank.")
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  use_lora_opt = gr.Checkbox(value=False, label="Use LoRA", info="Applies Low-Rank Adaptation.")
 
 
 
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  import os
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  import shutil
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  import subprocess
 
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  apply_aggressive_optimization = gr.Checkbox(value=True, label="Apply Aggressive Optimization", info="Reduces attention heads and hidden size.")
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  apply_reduce_layers = gr.Checkbox(value=True, label="Reduce Layers", info="Reduces the number of layers in the model.")
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  apply_smaller_embeddings = gr.Checkbox(value=True, label="Use Smaller Embeddings", info="Reduces the size of the embedding layer.")
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+ # apply_weight_sharing = gr.Checkbox(value=False, label="Apply Weight Sharing
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  apply_weight_sharing = gr.Checkbox(value=False, label="Apply Weight Sharing", info="Shares weights across layers to reduce parameters.")
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  apply_low_rank_approx = gr.Checkbox(value=False, label="Apply Low-Rank Approximation", info="Approximates weight matrices with lower rank.")
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  use_lora_opt = gr.Checkbox(value=False, label="Use LoRA", info="Applies Low-Rank Adaptation.")