Llama 7B lora fine-tune 2 epoch training on webNLG2017, 256, 128 length for context and completion

adapter_config.json

@@ -0,0 +1,17 @@
+{
+  "base_model_name_or_path": "huggyllama/llama-7b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56232fc904cb243180b47ba9ae9e02ef06e039ed8b8fef3d5829a9fbda444be2
+size 16822989