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

README.md

@@ -0,0 +1,85 @@
+---
+library_name: transformers
+pipeline_tag: text-generation
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- peft
+- lora
+- merged
+---
+# Meta-Llama-3-8B-Instruct-fedavg-v0
+
+This repository contains a full merged model produced by applying a PEFT LoRA adapter to its base model. It is intended for reproducible evaluation without requiring a separate adapter loading path.
+
+## Quick Start
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+```
+
+Run the bundled FSL evaluation wrapper:
+
+```bash
+bash fsl/src/evaluation/overall_eval.sh \
+    --model_name wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0 \
+    --model_type instruct \
+    --max_samples 100 \
+    --output_root fsl/results/evaluation/Meta-Llama-3-8B-Instruct-fedavg-v0
+```
+
+## Training Procedure
+
+- 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`
+- Number of clients: `8`
+- Communication round/checkpoint: `3`
+- Local epochs: `3`
+- Local batch size: `256`
+- Local micro batch size: `16`
+- Local learning rate: `0.0003`
+
+Original training command:
+
+Not specified
+
+## Merge Metadata
+
+- Base model: `meta-llama/Meta-Llama-3-8B-Instruct`
+- Adapter source: `/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/2`
+- PEFT type: `LORA`
+- Task type: `CAUSAL_LM`
+- LoRA rank: `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`
+
+## 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`
+
+## Notes
+
+- This is a merged full-weight model, not an adapter-only checkpoint.
+- Redistribution/access should follow the base model license and access policy.
+- `merge_info.json` in this repository records the adapter and merge configuration.