Upload LoRA adapter

README.md

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+---
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- peft
+- lora
+- federated-learning
+- flower
+---
+
+# FlowerTune LoRA Model
+
+This is a LoRA adapter for meta-llama/Llama-3.2-1B-Instruct fine-tuned with Flower federated learning framework on a general NLP dataset.
+
+## Training Details
+
+- Dataset: vicgalle/alpaca-gpt4
+- Training method: Federated LoRA fine-tuning with FlowerTune
+- Framework: Flower
+
+This model is a LoRA adapter fine-tuned on meta-llama/Llama-3.2-1B-Instruct using the Flower federated learning framework. It was trained on a general NLP dataset (vicgalle/alpaca-gpt4) through distributed learning to improve performance.
+
+## Links
+- FlowerTune Homepage: [https://huggingface.co/zjudai/FlowerTune](https://huggingface.co/zjudai/FlowerTune)
+- FlowerTune Collection: [https://huggingface.co/collections/tao-shen/flowertune-lora-collection-67ecc79a0d37308e109ebeb1](https://huggingface.co/collections/tao-shen/flowertune-lora-collection-67ecc79a0d37308e109ebeb1)

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-3.2-1B-Instruct",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.075,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d08ec40936bf9c2a9642dd85ac226c8d86267cd83b98b680b9b127199d9cab3a
+size 13640008