Update README.md

README.md

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-# Model Card for llama-7b-hf-28q_4bit-128g_WVU
+# Model Card for llama-13b-hf-35q_4bit-128g_WVU
 
 ## Model Description
 
-`llama-7b-hf-28q_4bit-128g_WVU` is a model based on the 
-Llama architecture with 7 billion parameters. 
-This model adopts a quantization in which the first 28 layers 
+`llama-13b-hf-35q_4bit-128g_WVU` is a model based on the 
+Llama architecture with 13 billion parameters. 
+This model adopts a quantization in which the first 35 layers 
 of the decoder have been quantized with the [`gptq`](https://github.com/qwopqwop200/GPTQ-for-LLaMa) method, 
 which uses 4-bit precision and 128 groups. 
-Then, the last 4 decoder layers (1/8 of decoding layers), and lm_head have been fine-tuned using the [wizard_vicuna_70k_unfiltered dataset](https://huggingface.co/datasets/ehartford/wizard_vicuna_70k_unfiltered), 1 epoch. 
+Then, the last 5 decoder layers (1/8 of decoding layers), and lm_head have been fine-tuned using the [wizard_vicuna_70k_unfiltered dataset](https://huggingface.co/datasets/ehartford/wizard_vicuna_70k_unfiltered), 1 epoch. 
 
 ## Note