初始化项目，由ModelHub XC社区提供模型

Model: wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0
Source: Original Platform

merge_info.json

@@ -0,0 +1,49 @@
+{
+  "adapter_dir": "/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/2",
+  "base_model": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "peft_type": "LORA",
+  "task_type": "CAUSAL_LM",
+  "lora_r": 16,
+  "lora_alpha": 16,
+  "target_modules": [
+    "up_proj",
+    "v_proj",
+    "gate_proj",
+    "q_proj",
+    "k_proj",
+    "o_proj",
+    "down_proj"
+  ],
+  "merged_at_utc": "2026-05-22T05:24:31.213169+00:00",
+  "output_dir": "/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/merged",
+  "repo_id": "wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0",
+  "private": false,
+  "revision": null,
+  "dtype": "bfloat16",
+  "max_shard_size": "5GB",
+  "training": {
+    "procedure": "Federated LoRA fine-tuning followed by adapter aggregation. The resulting PEFT LoRA adapter was merged into the base model for reproducible evaluation.",
+    "algorithm": "fedavg",
+    "training_data": "data_hetero_with_4_tasks",
+    "training_command": null,
+    "num_clients": 8,
+    "communication_round": "3",
+    "local_epochs": "3",
+    "local_batch_size": "256",
+    "local_micro_batch_size": "16",
+    "local_learning_rate": "0.0003"
+  },
+  "framework_versions": {
+    "python": "3.10.20",
+    "platform": "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+    "torch": "2.11.0+cu130",
+    "cuda": "13.0",
+    "transformers": "4.57.1",
+    "peft": "0.19.1",
+    "accelerate": "1.13.0",
+    "huggingface_hub": "0.36.2",
+    "safetensors": "0.7.0",
+    "vllm": "0.20.2",
+    "wandb": "0.27.0"
+  }
+}