Update README.md

README.md

@@ -9,7 +9,7 @@ If no comment is made, None data regarding the product or shipping will be retur
 
 Used to quantization method like this ;
 
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 import torch
 #quantizasyon yöntemi 4 bit hassasiyetiyle yapacak.
 quant_config = BitsAndBytesConfig(
@@ -18,12 +18,12 @@ quant_config = BitsAndBytesConfig(
     bnb_4bit_compute_dtype=torch.float16, #maliyeti de düşürmüş olduk, hızı da artırdık
     bnb_4bit_use_double_quant=True, # True model increases accuracy but causes it to work more costly.
 ) #np4 saves more memory
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 Here.. This code contains important steps to optimize LLM's memory usage and processing time. 
 It is important to improve the performance and resource utilization of the model.
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 #20GB model
 model = AutoModelForCausalLM.from_pretrained(
                                               pretrained_model_name_or_path=base_model, #used "meta-llama/Meta-Llama-3-8B-Instruct" 
@@ -34,4 +34,4 @@ model = AutoModelForCausalLM.from_pretrained(
                                               )
 model.config.use_cache = False 
 model.config.pretraining_tp = 1
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