Update README.md

README.md

@@ -114,10 +114,19 @@ model-index:
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 # orca_mini_7b
 
-An [OpenLLaMa-7B model](https://github.com/openlm-research/open_llama) model trained on explain tuned datasets, created using Instructions and Input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches.
+<img src="https://huggingface.co/pankajmathur/orca_mini_v5_8b/resolve/main/orca_minis_small.jpeg" width="auto" />
 
+<strong>
+Passionate about Generative AI? I help companies to privately train and deploy custom LLM/MLLM affordably. For startups, I can even assist with securing GPU grants to get you started. Let's chat!
 
-# Dataset
+<a href="https://www.linkedin.com/in/pankajam" target="_blank">https://www.linkedin.com/in/pankajam</a> Looking forward to connecting!
+</strong>
+
+<br>
+
+**An [OpenLLaMa-7B model](https://github.com/openlm-research/open_llama) model trained on explain tuned datasets, created using Instructions and Input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches.**
+
+### Dataset
 
 We build explain tuned [WizardLM dataset ~70K](https://github.com/nlpxucan/WizardLM), [Alpaca dataset ~52K](https://crfm.stanford.edu/2023/03/13/alpaca.html)  & [Dolly-V2 dataset ~15K](https://github.com/databrickslabs/dolly) created using approaches from [Orca Research Paper](https://arxiv.org/abs/2306.02707).
 
@@ -127,7 +136,7 @@ This helps student model aka this model to learn ***thought*** process from teac
 
 Please see below example usage how the **System** prompt is added before each **instruction**.
 
-# Training
+### Training
 
 The training configurations are provided in the table below.
 
@@ -149,7 +158,7 @@ Here are some of params used during training:
 
 
 
-# Example Usage
+### Example Usage
 
 Below shows an example on how to use this model
 
@@ -222,8 +231,6 @@ Sincerely,
 
 ```
 
-**P.S. I am #opentowork and #collaboration, if you can help, please reach out to me at www.linkedin.com/in/pankajam**
-
 **
 
 Next Goals: