Update README.md

README.md

@@ -18,7 +18,7 @@ July 5, 2023
 
 ## Model License
 
-Please refer to original MPT model license ([link](https://huggingface.co/VMware/open-llama-7b-open-instruct)).
+Please refer to original OpenLLaMa model license ([link](https://huggingface.co/VMware/open-llama-7b-open-instruct)).
 
 Please refer to the AWQ quantization license ([link](https://github.com/llm-awq/blob/main/LICENSE)).
 
@@ -61,7 +61,7 @@ q_config = {
     "q_group_size": 128,
 }
 
-load_quant = hf_hub_download('abhinavkulkarni/open-llama-7b-open-instruct-w4-g128-awq', 'pytorch_model.bin')
+load_quant = hf_hub_download('abhinavkulkarni/VMWare-open-llama-7b-open-instruct-w4-g128-awq', 'pytorch_model.bin')
 
 with init_empty_weights():
     model = AutoModelForCausalLM.from_config(config=config, 
@@ -100,7 +100,7 @@ This evaluation was done using [LM-Eval](https://github.com/EleutherAI/lm-evalua
 |        |       |byte_perplexity| 1.5853|   |      |
 |        |       |bits_per_byte  | 0.6648|   |      |
 
-[Open-LLaMA-7B-Instruct (4-bit 128-group AWQ)](https://huggingface.co/abhinavkulkarni/open-llama-7b-open-instruct-w4-g128-awq)
+[Open-LLaMA-7B-Instruct (4-bit 128-group AWQ)](https://huggingface.co/abhinavkulkarni/VMware-open-llama-7b-open-instruct-w4-g128-awq)
 
 |  Task  |Version|    Metric     | Value |   |Stderr|
 |--------|------:|---------------|------:|---|------|