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Nexus-4x7B-IKM-MLX

Text Generation

Inference Endpoints

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Severian commited on Mar 14

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@@ -19,7 +19,7 @@ Test this out and see if you find anything interesting or intriguing. I will kee
 key: str = "system", key2: str = "instruction"
 batch_size=1
-epochs=10 (Don't do this for the current version of the dataset, your model WILL overfit. It's very potent.)
 r=16
 lora_alpha=32
 lora_dropout=0.001

 key: str = "system", key2: str = "instruction"
 batch_size=1
+epochs=10
 r=16
 lora_alpha=32
 lora_dropout=0.001