Update README.md

README.md

@@ -42,6 +42,7 @@ All notebooks are **beginner friendly**! Add your dataset, click "Run All", and
 
 ## 🦥 Unsloth.ai News
 - 📣 NEW! [Llama 3.3 (70B)](https://huggingface.co/collections/unsloth/llama-33-all-versions-67535d7d994794b9d7cf5e9f), Meta's latest model is now supported.
+- 📣 NEW! We worked with Apple to add [Cut Cross Entropy](https://arxiv.org/abs/2411.09009). Unsloth now supports 89K context for Meta's Llama 3.3 (70B) on a 80GB GPU - 13x longer than HF+FA2. For Llama 3.1 (8B), Unsloth enables 342K context, surpassing its native 128K support.
 - 📣 NEW! Introducing Unsloth [Dynamic 4-bit Quantization](https://unsloth.ai/blog/dynamic-4bit)! We dynamically opt not to quantize certain parameters and this greatly increases accuracy while only using <10% more VRAM than BnB 4-bit. See our collection on [Hugging Face here.](https://huggingface.co/collections/unsloth/unsloth-4-bit-dynamic-quants-67503bb873f89e15276c44e7)
 - 📣 NEW! [Vision models](https://unsloth.ai/blog/vision) now supported! [Llama 3.2 Vision (11B)](https://colab.research.google.com/drive/1j0N4XTY1zXXy7mPAhOC1_gMYZ2F2EBlk?usp=sharing), [Qwen 2.5 VL (7B)](https://colab.research.google.com/drive/1whHb54GNZMrNxIsi2wm2EY_-Pvo2QyKh?usp=sharing) and [Pixtral (12B) 2409](https://colab.research.google.com/drive/1K9ZrdwvZRE96qGkCq_e88FgV3MLnymQq?usp=sharing)
 - 📣 NEW! Qwen-2.5 including [Coder](https://colab.research.google.com/drive/18sN803sU23XuJV9Q8On2xgqHSer6-UZF?usp=sharing) models are now supported with bugfixes. 14b fits in a Colab GPU! [Qwen 2.5 conversational notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing)
@@ -483,7 +484,20 @@ You can cite the Unsloth repo as follows:
 }
 ```
 
+### Citation
+If you would like to cite Unsloth, you can use the following format:
+```
+@misc{han2023unsloth,
+  author       = {Daniel Han and Michael Han},
+  title        = {Unsloth AI: Finetune LLMs 2x faster 2-5x faster with 80\% less memory},
+  year         = {2023},
+  url          = {https://github.com/unslothai/unsloth},
+  note         = {GitHub repository}
+}
+```
+
 ### Thank You to
+- [Erik](https://github.com/erikwijmans) for his help adding [Apple's ML Cross Entropy](https://github.com/apple/ml-cross-entropy) in Unsloth
 - [HuyNguyen-hust](https://github.com/HuyNguyen-hust) for making [RoPE Embeddings 28% faster](https://github.com/unslothai/unsloth/pull/238)
 - [RandomInternetPreson](https://github.com/RandomInternetPreson) for confirming WSL support
 - [152334H](https://github.com/152334H) for experimental DPO support