Update README.md

README.md

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 # orca_mini_v2_13b
 
-An **Uncensored** LLaMA-13b model in collaboration with [Eric Hartford](https://huggingface.co/ehartford). trained on explain tuned datasets, created using Instructions and Input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches.
+**An **Uncensored** LLaMA-13b model in collaboration with [Eric Hartford](https://huggingface.co/ehartford). trained on explain tuned datasets, created using Instructions and Input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches.**
 
 Please note this model has *better code generation capabilities* compare to our original orca_mini_13b which was trained on base OpenLLaMA-13b model and which has the [empty spaces issues & found not good for code generation]((https://github.com/openlm-research/open_llama#update-06072023)).
 
+<img src="https://huggingface.co/pankajmathur/orca_mini_v5_8b/resolve/main/orca_minis_small.jpeg" width="auto" />
 
-**P.S. I am #opentowork, if you can help, please reach out to me at www.linkedin.com/in/pankajam**
+<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!
 
-# Evaluation
+<a href="https://www.linkedin.com/in/pankajam" target="_blank">https://www.linkedin.com/in/pankajam</a> Looking forward to connecting!
+</strong>
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+<br>
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+### Evaluation
 
 I evaluated orca_mini_v2_13b on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI. 
 
@@ -138,7 +147,7 @@ Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](htt
 
 
 
-# Dataset
+### Dataset
 
 We used uncensored script on top of the previous explain tuned datasets we build which are [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).
 
@@ -148,7 +157,7 @@ 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.
 
@@ -170,7 +179,7 @@ Here are some of params used during training:
 
 
 
-# Example Usage
+### Example Usage
 
 Here is prompt format for [Oobabooga Text generation UI ](https://github.com/oobabooga/text-generation-webui)