Swap old Llama model with Phi-3 (#1666)

Author: rasbt

README.md

@@ -97,12 +97,12 @@ Every model is written from scratch to maximize performance and remove layers of
 | Model | Model size | Author | Reference |
 |----|----|----|----|
 | Llama 3 & 3.1 | 8B, 70B, 405B | Meta AI | [Meta AI 2024](https://github.com/meta-llama/llama3)                                           |
-| Llama 2 | 7B, 13B, 70B | Meta AI | [Touvron et al. 2023](https://arxiv.org/abs/2307.09288)                                               |
 | Code Llama | 7B, 13B, 34B, 70B | Meta AI | [Rozière et al. 2023](https://arxiv.org/abs/2308.12950)                                       |
 | Mixtral MoE | 8x7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/mixtral-of-experts/)                                         |
 | Mistral | 7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/announcing-mistral-7b/)                                            |
 | CodeGemma | 7B | Google | [Google Team, Google Deepmind](https://ai.google.dev/gemma/docs/codegemma)                                     |
 | Gemma 2 | 2B, 9B, 27B | Google | [Google Team, Google Deepmind](https://storage.googleapis.com/deepmind-media/gemma/gemma-2-report.pdf)  |
+| Phi 3   | 3.8B | Microsoft | [Abdin et al. 2024](https://arxiv.org/abs/2404.14219)                                              |
 | ... | ... | ... | ...   |
 
 <details>