Update README.md

README.md

@@ -13,7 +13,7 @@ Besides this it is trained on following datasets:
 
 [orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k)
 
-[Openhermes](https://huggingface.co/datasets/teknium/openhermes)
+[CodeFeedback-Filtered-Instruction](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction)
 
 The idea was to check how this Model will perform with both Code & Maths datasets. This model is very good with Coding. 
 Maths outputs are also very good. You can test out this model.
@@ -34,7 +34,7 @@ Exllama v2: TBA
 
 **Training:**
 
-Entire dataset was trained on 4 x A100 80GB. For 2 epoch, training took more than 160 Hours. Axolotl codebase was used for training purpose.
+Entire dataset was trained on 4 x A100 80GB. For 2 epoch, training took more than 160 Hours. Axolotl & Deepspeed codebase was used for training purpose.
 Entire data is trained on Llama-3-8B by Meta.
 
 **Example Prompt:**