Update peft_config.json

peft_config.json

@@ -1 +1,26 @@
-{"peft_type": "LORA", "auto_mapping": null, "base_model_name_or_path": null, "revision": null, "task_type": "CAUSAL_LM", "inference_mode": false, "r": 16, "target_modules": ["up_proj", "gate_proj", "down_proj", "o_proj", "k_proj", "v_proj", "q_proj"], "lora_alpha": 16, "lora_dropout": 0.05, "fan_in_fan_out": false, "bias": "none", "use_rslora": false, "modules_to_save": null, "init_lora_weights": true, "layers_to_transform": null, "layers_pattern": null, "rank_pattern": {}, "alpha_pattern": {}, "megatron_config": null, "megatron_core": "megatron.core", "loftq_config": {}, "use_dora": false, "layer_replication": null}
+{
+  "peft_type": "LORA",
+  "auto_mapping": null,
+  "base_model_name_or_path": "Vijayendra/llama-3b-lora-cyclic-attention",  // or your base model, if different
+  "revision": null,
+  "task_type": "CAUSAL_LM",
+  "inference_mode": false,
+  "r": 16,
+  "target_modules": ["up_proj", "gate_proj", "down_proj", "o_proj", "k_proj", "v_proj", "q_proj"],
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "fan_in_fan_out": false,
+  "bias": "none",
+  "use_rslora": false,
+  "modules_to_save": null,
+  "init_lora_weights": true,
+  "layers_to_transform": null,
+  "layers_pattern": null,
+  "rank_pattern": {},
+  "alpha_pattern": {},
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "loftq_config": {},
+  "use_dora": false,
+  "layer_replication": null
+}