doc: update model cards

README.md

@@ -7,11 +7,14 @@ tags:
 - moe
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-# Jamba-v0.1-9B
 
-A dense version of [Jamba-v0.1](https://huggingface.co/ai21labs/Jamba-v0.1), which extracts the weights of the first expert.
-It no longer uses MoE. Please refer to [this script](https://github.com/TechxGenus/Jamba-utils/blob/main/dense_downcycling.py) for details.
-It can use single 3090/4090 for inference, and the usage method is exactly the same as Jamba-v0.1.
+
+### Required Weights for Follow-up Research
+
+The original model is **AI21lab's Jamba-v0.1**, which requires an **A100 80GB GPU**. Unfortunately, this was not available via Google Colab or cloud computing services. Attempts were made to perform **MoE (Mixture of Experts) splitting**, using the following resources as a basis:
+
+- **Base creation**: Referenced for subsequent tasks.
+- **MoE Layer Separation**: Consult [this script](https://github.com/TechxGenus/Jamba-utils/blob/main/dense_downcycling.py) from [TechxGenus/Jamba-v0.1-9B](https://huggingface.co/TechxGenus/Jamba-v0.1-9B).
 
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