fix: remove stale OpenVino mention

README.md

@@ -23,8 +23,7 @@ license: other
 
 ## Model Description
 
-`StableLM 2 Zephyr 1.6B` is a 1.6 billion parameter instruction tuned inspired by [Stablelm Zephyr 3B](https://huggingface.co/stabilityai/stablelm-zephyr-3b) training pipeline this model was trained on a mix of publicly available datasets, synthetic datasets using [Direct Preference Optimization (DPO)](https://arxiv.org/abs/2305.18290), evaluation for this model based on
-[MT Bench](https://huggingface.co/spaces/lmsys/mt-bench).
+`Stable LM 2 Zephyr 1.6B` is a 1.6 billion parameter instruction tuned language model inspired by [HugginFaceH4's Zephyr 7B](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) training pipeline. The model is trained on a mix of publicly available datasets and synthetic datasets, utilizing [Direct Preference Optimization (DPO)](https://arxiv.org/abs/2305.18290). We assess model performance on [MT Bench](https://tatsu-lab.github.io/alpaca_eval/) and [Alpaca Benchmark](https://tatsu-lab.github.io/alpaca_eval/).
 
 ## Usage
 
@@ -65,11 +64,8 @@ tokens = model.generate(
 print(tokenizer.decode(tokens[0], skip_special_tokens=False))
 ```
 
-You can also see how to run a performance optimized version of this model [here](https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/273-stable-zephyr-3b-chatbot/273-stable-zephyr-3b-chatbot.ipynb) using [OpenVINO](https://docs.openvino.ai/2023.2/home.html) from Intel.
-
 ## Model Details
 
-
 * **Developed by**: [Stability AI](https://stability.ai/)
 * **Model type**: `StableLM 2 Zephyr 1.6B` model is an auto-regressive language model based on the transformer decoder architecture.
 * **Language(s)**: English
@@ -109,7 +105,6 @@ The dataset is comprised of a mixture of open datasets large-scale datasets avai
 | phi-2                   | 2.7B | 4.29     |
 | TinyLlama-1.1B-Chat-v1.0| 1.1B | 3.46     |
 
-
 ### OpenLLM Leaderboard
 
 | Model                                  | Size | Average | ARC Challenge (acc_norm) | HellaSwag (acc_norm) | MMLU (acc_norm) | TruthfulQA (mc2) | Winogrande (acc) | Gsm8k (acc) |