update docs

examples/lora_single_gpu/llama3_preprocess.yaml

@@ -0,0 +1,22 @@
+# model
+model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
+
+# method
+stage: sft
+do_train: true
+finetuning_type: lora
+lora_target: q_proj,v_proj
+
+# dataset
+dataset: identity,alpaca_gpt4_en
+template: llama3
+cutoff_len: 1024
+max_samples: 1000
+val_size: 0.1
+overwrite_cache: true
+preprocessing_num_workers: 16
+tokenized_path: saves/llama3-8b/dataset/sft # use `tokenized_path` in config to load data
+
+# output
+output_dir: saves/llama3-8b/lora/sft
+overwrite_output_dir: true