Update README.md

README.md

@@ -13,7 +13,7 @@ Base Model: unsloth/llama-3-8b-bnb-4bit
 
 Training Dataset: A combined dataset of alpaca, dolly and bactrainx which is translated to turkish.
 
-Training Method: Fine-tuned with Unsloth, which uses QLoRA. Used ORPO
+Training Method: Fine-tuned with Unsloth, QLoRA and ORPO
 
 #TrainingArguments\
 PER_DEVICE_BATCH_SIZE: 2\
@@ -52,12 +52,11 @@ How to load with unsloth:
 ```commandline
 from unsloth import FastLanguageModel
 
-max_seq_len = 2048
+max_seq_len = 1024
 model, tokenizer = FastLanguageModel.from_pretrained(
     model_name="VeriUs/VeriUS-LLM-8b-v0.2",
     max_seq_length=max_seq_len,
-    dtype=None,
-    load_in_4bit=True
+    dtype=None
 )
 FastLanguageModel.for_inference(model)  # Enable native 2x faster inference