Update README.md

README.md

@@ -89,11 +89,11 @@ Below shows a code example on how to use this model
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("pankajmathur/model_007")
+tokenizer = AutoTokenizer.from_pretrained("pankajmathur/model_101")
 model = AutoModelForCausalLM.from_pretrained(
-  "pankajmathur/model_007",
+  "pankajmathur/model_101",
   torch_dtype=torch.float16,
-  load_in_8bit=True,
+  load_in_4bit=True,
   low_cpu_mem_usage=True,
   device_map="auto"
 )
@@ -127,11 +127,11 @@ Below shows a code example on how to use this model
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("pankajmathur/model_001")
+tokenizer = AutoTokenizer.from_pretrained("pankajmathur/model_101")
 model = AutoModelForCausalLM.from_pretrained(
-  "pankajmathur/model_007",
+  "pankajmathur/model_101",
   torch_dtype=torch.float16,
-  load_in_8bit=True,
+  load_in_4bit=True,
   low_cpu_mem_usage=True,
   device_map="auto"
 )
@@ -163,13 +163,14 @@ Exercise caution and cross-check information when necessary.
 Please kindly cite using the following BibTeX:
 
 ```
-@misc{model_001,
+@misc{model_101,
   author = {Pankaj Mathur},
-  title = {model_001: A hybrid (explain + instruct) style Llama2-70b model},
+  title = {model_101: A hybrid (explain + instruct) style Llama2-70b model},
+  month = {August},
   year = {2023},
   publisher = {HuggingFace},
   journal = {HuggingFace repository},
-  howpublished = {\url{https://https://huggingface.co/pankajmathur/model_001},
+  howpublished = {\url{https://https://huggingface.co/pankajmathur/model_101},
 }
 ```