初始化项目，由ModelHub XC社区提供模型

Model: CorticalStack/gemma-7b-ultrachat-sft
Source: Original Platform

README.md

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+---
+license: apache-2.0
+---
+
+# gemma-7b-ultrachat-sft
+
+gemma-7b-ultrachat-sft is an SFT fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) using the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset.
+
+## Fine-tuning configuration
+### LoRA
+- LoRA r: 8
+- LoRA alpha: 16
+- LoRA dropout: 0.1
+
+### Training arguments
+- Epochs: 1
+- Batch size: 4
+- Gradient accumulation steps: 6
+- Optimizer: paged_adamw_32bit
+- Max steps: 100
+- Learning rate: 0.0002
+- Weight decay: 0.001
+- Learning rate scheduler type: constant
+- Max seq length: 2048