Update README.md

README.md

@@ -14,7 +14,7 @@ license: llama3
 
 **llama-3-typhoon-v1.5-8b-vision-preview** is a 🇹🇭 Thai *vision-language* model. It supports both text and image input modalities natively while the output is text. This version (August 2024) is our first vision-language model as a part of our multimodal effort, and it is a research *preview* version. The base language model is our [llama-3-typhoon-v1.5-8b-instruct](https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct). 
 
-More details can be found in our [release blog](). *To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include "llama-3" in the model name.
+More details can be found in our [release blog](). *To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include "llama-3" in the model name.*
 
 # **Model Description**
 Here we provide **Llama3 Typhoon Instruct Vision Preview** which is built upon [Llama-3-Typhoon-1.5-8B-instruct](https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct) and [SigLIP](https://huggingface.co/google/siglip-so400m-patch14-384).
@@ -115,7 +115,12 @@ print(tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True
 This model is experimental and might not be fully evaluated for all use cases. Developers should assess risks in the context of their specific applications.
 
 # Follow us
-https://twitter.com/opentyphoon
+Twitter: https://twitter.com/opentyphoon
 
 # Support
-https://discord.gg/CqyBscMFpg
+Discord: https://discord.gg/CqyBscMFpg
+
+# Acknowledgements
+In addition to common libraries and tools, we would like to thank the following projects for releasing model weights and code: 
+- Training recipe: [Bunny](https://github.com/BAAI-DCAI/Bunny) from BAAI
+- Vision Encoder: [SigLIP](https://huggingface.co/google/siglip-so400m-patch14-384) from Google