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Update README.md

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@@ -76,19 +76,12 @@ The MalayaLLM models have been improved and customized to incorporate a comprehe
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  ```python
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  import os
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  import torch
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- from datasets import load_dataset
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- from peft import LoraConfig, PeftModel
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  from transformers import (
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  AutoModelForCausalLM,
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  AutoTokenizer,
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- BitsAndBytesConfig,
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- HfArgumentParser,
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- TrainingArguments,
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- logging,
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  pipeline,
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  )
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- from trl import SFTTrainer
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- model_name = "VishnuPJ/MalayaLLM_7B_Instruct_v0.1"
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  print(f"Loading model...")
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  # Load base model
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  base_model = AutoModelForCausalLM.from_pretrained(
 
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  ```python
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  import os
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  import torch
 
 
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  from transformers import (
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  AutoModelForCausalLM,
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  AutoTokenizer,
 
 
 
 
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  pipeline,
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  )
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+ model_name = "VishnuPJ/MalayaLLM_7B_Instruct_v0.2"
 
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  print(f"Loading model...")
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  # Load base model
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  base_model = AutoModelForCausalLM.from_pretrained(