Miqu fine-tuned results

modules/llm/Miqu-1-70b/Miqu-1-70b_fine_tune.py

@@ -89,8 +89,12 @@ def fine_tune(base_model, new_model):
     trainer.model.save_pretrained(new_model)
     model.config.use_cache = True
     model.eval()
+    del model, trainer, tokenizer
 
 def generate(base_model, new_model):
+    
+    # Clear the memory footprint
+    torch.cuda.empty_cache()
 
     base_model_reload = transformers.AutoModelForCausalLM.from_pretrained(
         base_model,
@@ -174,4 +178,6 @@ minutes = (execution_time % 3600) // 60
 seconds = execution_time % 60
 
 # Print the execution time in hours, minutes, and seconds
-print(f"The program ran for {int(hours)} hours, {int(minutes)} minutes, and {seconds:.2f} seconds.")
+print(f"The program ran for {int(hours)} hours, {int(minutes)} minutes, and {seconds:.2f} seconds.")
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+
+#100%|██████████| 306/306 [1:05:20<00:00, 12.81s/it]
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