Mention the new models in the readme. (#1651)

1 files changed, 4 insertions, 3 deletions

diff --git a/README.md b/README.md
index 14172742..63f05ba3 100644
--- a/README.md
+++ b/README.md
@@ -65,7 +65,8 @@ We also provide a some command line based examples using state of the art models
 - [Falcon](./candle-examples/examples/falcon/): general LLM.
 - [Phi-1, Phi-1.5, and Phi-2](./candle-examples/examples/phi/): 1.3b and 2.7b general LLMs with performance on par with LLaMA-v2 7b.
 - [StableLM-3B-4E1T](./candle-examples/examples/stable-lm/): a 3b general LLM
-  pre-trained on 1T tokens of English and code datasets.
+  pre-trained on 1T tokens of English and code datasets. Also supports
+  StableLM-2, a 1.6b LLM trained on 2T tokens, as well as the code variants.
 - [Minimal Mamba](./candle-examples/examples/mamba-minimal/): a minimal
   implementation of the Mamba state space model.
 - [Mistral7b-v0.1](./candle-examples/examples/mistral/): a 7b general LLM with
@@ -187,7 +188,7 @@ If you have an addition to this list, please submit a pull request.
         - Minimal Mamba
         - Mistral 7b v0.1.
         - Mixtral 8x7b v0.1.
-        - StableLM-3B-4E1T.
+        - StableLM-3B-4E1T, StableLM-2-1.6B, Stable-Code-3B.
         - Replit-code-v1.5-3B.
         - Bert.
         - Yi-6B and Yi-34B.
@@ -207,7 +208,7 @@ If you have an addition to this list, please submit a pull request.
     - Image to text.
         - BLIP.
     - Computer Vision Models.
-        - DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG.
+        - DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG, ConvNeXT.
         - yolo-v3, yolo-v8.
         - Segment-Anything Model (SAM).
 - File formats: load models from safetensors, npz, ggml, or PyTorch files.