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README.md

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----
-license: apache-2.0
----
+---
+library_name: peft
+base_model: meta-llama/Llama-2-7b-chat-hf
+license: apache-2.0
+language:
+- en
+---
+## Training:
+
+Check out our github: https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT_Forecaster
+
+## Inference
+``` python
+from datasets import load_dataset
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+
+
+base_model = AutoModelForCausalLM.from_pretrained(
+    'meta-llama/Llama-2-7b-chat-hf',
+    trust_remote_code=True,
+    device_map="auto",
+    torch_dtype=torch.float16,   # optional if you have enough VRAM
+)
+tokenizer = AutoTokenizer.from_pretrained('meta-llama/Llama-2-7b-chat-hf')
+
+model = PeftModel.from_pretrained(base_model, 'FinGPT/fingpt-forecaster_dow30_llama2-7b_lora')
+model = model.eval()
+```
+
+- PEFT 0.5.0

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "base_models/Llama-2-7b-chat-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "gate_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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adapter_model.safetensors

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