Update README.md

README.md

@@ -25,7 +25,7 @@ We investigate domain adaptation of MLLMs through post-training, focusing on dat
 
 
 ***************** **Updates** ********************  
-- [2024/12/9] Released AdaMLLM developed from llava-next-llama3-8b: [AdaMLLM-med-8B](AdaptLLM/medicine-LLaVA-NeXT-Llama3-8B), [AdaMLLM-food-8B](AdaptLLM/food-LLaVA-NeXT-Llama3-8B).
+- [2024/12/9] Released AdaMLLM developed from llava-next-llama3-8b: [AdaMLLM-med-8B](https://huggingface.co/AdaptLLM/medicine-LLaVA-NeXT-Llama3-8B), [AdaMLLM-food-8B](https://huggingface.co/AdaptLLM/food-LLaVA-NeXT-Llama3-8B).
 - [2024/12/7] Released [visual-instruction-synthesizer](https://huggingface.co/AdaptLLM/visual-instruction-synthesizer) used to synthesize task triplets based on image-caption pairs.
 - [2024/12/6] Released AdaMLLM developed from Qwen2-VL-2B and Llama-3.2-11B-Vision: [AdaMLLM-med-2B](https://huggingface.co/AdaptLLM/medicine-Qwen2-VL-2B-Instruct), [AdaMLLM-food-2B](https://huggingface.co/AdaptLLM/food-Qwen2-VL-2B-Instruct), [AdaMLLM-med-11B](https://huggingface.co/AdaptLLM/medicine-Llama-3.2-11B-Vision-Instruct),  [AdaMLLM-food-11B](https://huggingface.co/AdaptLLM/food-Llama-3.2-11B-Vision-Instruct), 
 - [2024/12/05] Released [biomedicine visual instructions](https://huggingface.co/datasets/AdaptLLM/medicine-visual-instructions) for post-training MLLMs
@@ -33,7 +33,7 @@ We investigate domain adaptation of MLLMs through post-training, focusing on dat
 
 
 ## Resources
-| Model Name                                                                 | Repo ID in HF 🤗                           | Domain       | Base Model              | Training Data                                                                                  | Evaluation Benchmark |
+| Model                                                                       | Repo ID in HF 🤗                           | Domain       | Base Model              | Training Data                                                                                  | Evaluation Benchmark |
 |:----------------------------------------------------------------------------|:--------------------------------------------|:--------------|:-------------------------|:------------------------------------------------------------------------------------------------|-----------------------|
 | [Visual Instruction Synthesizer](https://huggingface.co/AdaptLLM/visual-instruction-synthesizer) | AdaptLLM/visual-instruction-synthesizer     | -  | open-llava-next-llama3-8b    | TBD | -                   |
 | [AdaMLLM-med-2B](https://huggingface.co/AdaptLLM/medicine-Qwen2-VL-2B-Instruct) | AdaptLLM/medicine-Qwen2-VL-2B-Instruct     | Biomedicine  | Qwen2-VL-2B-Instruct    | [medicine-visual-instructions](https://huggingface.co/datasets/AdaptLLM/medicine-visual-instructions) | TBD                   |
@@ -43,8 +43,6 @@ We investigate domain adaptation of MLLMs through post-training, focusing on dat
 | [AdaMLLM-med-11B](https://huggingface.co/AdaptLLM/medicine-Llama-3.2-11B-Vision-Instruct) | AdaptLLM/medicine-Llama-3.2-11B-Vision-Instruct     | Biomedicine  | Llama-3.2-11B-Vision-Instruct    | [medicine-visual-instructions](https://huggingface.co/datasets/AdaptLLM/medicine-visual-instructions) | TBD                   |
 | [AdaMLLM-food-11B](https://huggingface.co/AdaptLLM/food-Llama-3.2-11B-Vision-Instruct) | AdaptLLM/food-Llama-3.2-11B-Vision-Instruct     | Food | Llama-3.2-11B-Vision-Instruct    | TBD | TBD                   |
 
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 ## About
 
 AdaMLLM represents our latest advancement in building domain-specific foundation models through post-training on synthetic supervised tasks derived from unsupervised contexts.