Merge Dev

docs/benchmarks/language/get-deepseek-r1-data.md

@@ -17,10 +17,10 @@ The benchmark implementation run command will automatically download the validat
   mlcr get,preprocessed,dataset,deepseek-r1,_validation,_mlc,_r2-downloader --outdirname=<path to download> -j
   ```
 
-    ### Get Calibration Dataset
-    ```
-    mlcr get,preprocessed,dataset,deepseek-r1,_calibration,_mlc,_rclone --outdirname=<path to download> -j
-    ```
+  ### Get Calibration Dataset
+  ```
+    mlcr get,preprocessed,dataset,deepseek-r1,_calibration,_mlc,_r2-downloader --outdirname=<path to download> -j
+  ```
 
 ## Model
 The benchmark implementation run command will automatically download the required model and do the necessary conversions. In case you want to only download the official model, you can use the below commands.

docs/benchmarks/language/get-llama2-70b-data.md

@@ -79,6 +79,17 @@ The benchmark implementation run command will automatically download the require
             mlcr get,ml-model,llama2-70b,_pytorch,_r2-downloader,_70b,_mlc -j
             ```
 
+    ### Get the Official MLPerf LLAMA2-70B model from MLCOMMONS Google Drive
+
+        === "From MLCOMMONS Cloudfare R2"
+
+        > **Note:**  One has to accept the [MLCommons Llama 2 License Confidentiality Notice](https://llama2.mlcommons.org/) to access the model files in MLCOMMONS Google Drive. 
+
+        ### Get the Official MLPerf LLAMA2-70B model from MLCOMMONS Cloudfare R2
+
+        ```
+        mlcr get,ml-model,llama2-70b,_mlc,_r2-downloader,_70b -j
+        ```
         === "From Hugging Face repo"
 
             > **Note:** Access to the HuggingFace model could be requested [here](https://ai.meta.com/resources/models-and-libraries/llama-downloads/).

docs/benchmarks/language/get-llama3_1-8b-data.md

@@ -30,6 +30,7 @@ The benchmark implementation run command will automatically download the validat
 
     ### Get Calibration Dataset
     ```
+
     mlcr get,dataset,cnndm,_calibration,_llama3,_mlc,_r2-downloader --outdirname=<path to download> -j
     ```
 
@@ -40,12 +41,13 @@ The benchmark implementation run command will automatically download the require
 
 === "Pytorch"
 
-    === "From MLCOMMONS Storage"
+    === "From Cloudfare R2"
 
         > **Note:**  One has to accept the [MLCommons Llama 3.1 License Confidentiality Notice](http://llama3-1.mlcommons.org/) to access the model files in MLCOMMONS Storage. 
 
         ### Get the Official MLPerf LLAMA3.1-8B model from MLCOMMONS Cloudfare R2
         ```
+
         mlcr get,ml-model,llama3,_mlc,_8b,_r2-downloader --outdirname=<path to download> -j
         ```
 

speech2text/accuracy_eval.py

@@ -57,12 +57,12 @@
     "x",
     "y",
     "z",
-    "'", 
+    "'",
     "0",
     "1",
     "2",
     "3",
-    "4", 
+    "4",
     "5",
     "6",
     "7",

speech2text/reference_SUT.py

@@ -90,12 +90,12 @@ def get_start_cores(start_cores="0"):
     "x",
     "y",
     "z",
-    "'", 
+    "'",
     "0",
     "1",
     "2",
     "3",
-    "4", 
+    "4",
     "5",
     "6",
     "7",