train_fix

train.py

@@ -4,9 +4,11 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments,
 from peft import LoraConfig, get_peft_model, prepare_model_for_kbit_training
 import torch
 
-model_name = "Alexis-Az/Qwen-2.5-Coder-7B-4bit-CSharp-Alpaca-Code-ORPO-LoRA"  # ваш base_model
+model_name = "mergekit-community/Qwen-2.5-Coder"  # ваш base_model
 out_dir = "D:\\out_peft"
 
+os.environ['HF_HOME'] = 'D:\\huggingface_cache'
+
 # load dataset
 ds = load_from_disk("processed_ds")
 train_ds = ds["train"]