Update README.md

README.md

@@ -30,7 +30,7 @@ Below are the results of Vicuna-style testing: 80 questions in various categorie
 | Total          | 320           | 408                  | 439                |
 
 
-A csv of questions, answers and GPT's reviews are also included in this repo in the /TestResults/ folder, along with the base model for comparison.
+A csv of questions, answers and GPT's reviews are also included in this repo in the /TestResults/ folder of the [Eluwa github repo](https://github.com/yudhanjaya/Eluwa), along with results from the base models for comparison.
 
 ## Using Eluwa
 
@@ -41,8 +41,8 @@ To load Eluwa, download [OPT 6.7b from Huggingface](https://huggingface.co/faceb
 ## Training and notes
 
 Training Eluwa is a straightforward process. It is essentially Facebook's GPT-like OPT 6.7b model, loaded in 8-bit and trained using [Stanford's Alapaca dataset](https://github.com/tatsu-lab/stanford_alpaca). 
-Use the [Colab notebook here](https://huggingface.co/BackyardLabs/Eluwa/blob/main/Train_eluwa.ipynb). I've written notes in there on what the functions do. 
- 
+
+The training code is available on the [Eluwa github repo](https://github.com/yudhanjaya/Eluwa) and will as-is in Google Colab.
 
 ## Why "Eluwa"?