Upload README.md

README.md

@@ -8,7 +8,7 @@ pipeline_tag: text-generation
 license: cc-by-nc-sa-4.0
 ---
 
-# **PlatYi-34B-Llama-AQ**  
+# **PlatYi-34B-Llama-Q-v3**  
 <img src='./PlatYi.png' width=256>
 
 ## Model Details
@@ -20,7 +20,7 @@ license: cc-by-nc-sa-4.0
 **Output** Models generate text only.
 
 **Model Architecture**   
-PlatYi-34B-Llama-AQ is an auto-regressive language model based on the Yi-34B transformer architecture.  
+PlatYi-34B-Llama-Q-v3 is an auto-regressive language model based on the Yi-34B transformer architecture.  
 
 **Blog Link**  
 Blog: [Coming soon...]  
@@ -48,7 +48,7 @@ The lora_r values is 64.
 
 | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
 | --- | --- | --- | --- | --- | --- | --- | --- |
-| PlatYi-34B-Llama-AQ | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
+| PlatYi-34B-Llama-Q-v3 | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
 | PlatYi-34B-Llama-Q-v2 | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
 | PlatYi-34B-Llama-Q | 71.13 | 65.70 | 85.22 | 78.78 | 53.64 | 83.03 | 60.42 |
 | PlatYi-34B-Llama | 68.37 | 67.83 | 85.35 | 78.26 | 53.46 | 82.87 | 42.46 |
@@ -62,7 +62,7 @@ The lora_r values is 64.
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
-repo = "kyujinpy/PlatYi-34B-Llama-AQ"
+repo = "kyujinpy/PlatYi-34B-Llama-Q-v3"
 OpenOrca = AutoModelForCausalLM.from_pretrained(
         repo,
         return_dict=True,