feat: Add SFT training code for mistral-7b with garole

LLMs/training/sft_mistral_7b_garole/train.py

@@ -0,0 +1,31 @@
+import torch
+import datasets
+from transformers import TrainingArguments, AutoConfig, AutoTokenizer, AutoModelForCausalLM
+import trl
+
+train_dataset = datasets.load_dataset('imdb', split='train')
+
+args = TrainingArguments(
+    output_dir="./test-galore",
+    max_steps=100,
+    per_device_train_batch_size=2,
+    optim="galore_adamw",
+    optim_target_modules=["attn", "mlp"]
+)
+
+model_id = "mistralai/Mistral-7B-v0.1"
+
+config = AutoConfig.from_pretrained(model_id)
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_config(config).to(0)
+
+trainer = trl.SFTTrainer(
+    model=model, 
+    args=args,
+    train_dataset=train_dataset,
+    dataset_text_field='text',
+    max_seq_length=512,
+)
+
+trainer.train()