diff --git a/README.md b/README.md
index ab6f84f5..671ea747 100644
--- a/README.md
+++ b/README.md
@@ -25,6 +25,16 @@ And a big thanks to all GitHub sponsors who helped with some of my costs before
 * Stable releases are 0.6.x and available by normal pip install or clone from [0.6.x](https://github.com/rwightman/pytorch-image-models/tree/0.6.x) branch.
 
 ### March 31, 2023
+* Add first ConvNext-XXLarge CLIP -> IN-1k fine-tune and IN-12k intermediate fine-tunes for convnext-base/large CLIP models.
+
+| model                                                                                                                |top1  |top5  |img_size|param_count|gmacs |macts |
+|----------------------------------------------------------------------------------------------------------------------|------|------|--------|-----------|------|------|
+| [convnext_xxlarge.clip_laion2b_soup_ft_in1k](https://huggingface.co/timm/convnext_xxlarge.clip_laion2b_soup_ft_in1k) |88.612|98.704|256     |846.47     |198.09|124.45|
+| convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384                                                               |88.312|98.578|384     |200.13     |101.11|126.74|
+| convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320                                                               |87.968|98.47 |320     |200.13     |70.21 |88.02 |
+| convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384                                                                  |87.138|98.212|384     |88.59      |45.21 |84.49 |
+| convnext_base.clip_laion2b_augreg_ft_in12k_in1k                                                                      |86.344|97.97 |256     |88.59      |20.09 |37.55 |
+
 * Add EVA-02 MIM pretrained and fine-tuned weights, push to HF hub and update model cards for all EVA models. First model over 90% top-1 (99% top-5)! Check out the original code & weights at https://github.com/baaivision/EVA for more details on their work blending MIM, CLIP w/ many model, dataset, and train recipe tweaks.
 
 | model                                              |top1  |top5  |param_count|img_size|