Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: llama3
+language:
+- en
+library_name: transformers
+pipeline_tag: text2text-generation
+---
+
+**Model Name: Llama 3 orca_mini_v6_8b_dpo**
+
+# Llama 3 orca_mini_v6_8b_dpo is trained with various DPO Datasets
+
+<img src="https://huggingface.co/pankajmathur/orca_mini_v5_8b/resolve/main/orca_minis_small.jpeg" width="auto" />
+
+## NOTICE
+
+By providing proper credit and attribution, you are granted permission to use this model as a foundational base for further Full fine tuning, DPO, PPO or ORPO tuning and any kind of Merges. 
+I actively encourage users to customize and enhance the model according to their specific needs, as this version is designed to be a comprehensive general model. 
+Dive in and innovate!
+
+## Evaluation
+
+Coming Soon..
+
+
+<br>
+
+## Example Usage
+
+Here is the ChatML prompt format
+
+```
+<|im_start|>system
+You are Orca Mini, a helpful AI assistant.<|im_end|>
+<|im_start|>user
+Hello Orca Mini, what can you do for me?<|im_end|>
+<|im_start|>assistant
+```
+
+Below shows a code example on how to use this model
+
+```python
+from transformers import AutoModel, AutoTokenizer
+model_slug = "pankajmathur/orca_mini_v6_8b_dpo"
+model = AutoModel.from_pretrained(model_slug)
+tokenizer = AutoTokenizer.from_pretrained(model_slug)
+
+messages = [
+    {"role": "system", "content": "You are Orca Mini, a helpful AI assistant."},
+    {"role": "user", "content": "Hello Orca Mini, what can you do for me?"}
+]
+
+gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
+model.generate(**gen_input)
+```
+This model is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)
+
+**Quants**
+
+GGUF : Coming Soon
+
+AWQ: Coming Soon
+