Update README.md

README.md

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-# Official Repository for paper "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"
+# Base model for paper "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"
 <a href='https://junzhan2000.github.io/AnyGPT.github.io/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>  <a href='https://arxiv.org/pdf/2402.12226.pdf'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a> [![](https://img.shields.io/badge/Datasets-AnyInstruct-yellow)](https://huggingface.co/datasets/fnlp/AnyInstruct)
 
-<p align="center">
-    <img src="static/images/logo.png" width="16%"> <br>
-</p>
+
 
 ## Introduction
 We introduce AnyGPT, an any-to-any multimodal language model that utilizes discrete representations for the unified processing of various modalities, including speech, text, images, and music. The [base model](https://huggingface.co/fnlp/AnyGPT-base) aligns the four modalities, allowing for intermodal conversions between different modalities and text. Furthermore, we constructed the [AnyInstruct](https://huggingface.co/datasets/fnlp/AnyInstruct) dataset based on various generative models, which contains instructions for arbitrary modal interconversion. Trained on this dataset, our [chat model](https://huggingface.co/fnlp/AnyGPT-chat) can engage in free multimodal conversations, where multimodal data can be inserted at will.
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 [![视频标题](http://img.youtube.com/vi/oW3E3pIsaRg/0.jpg)](https://www.youtube.com/watch?v=oW3E3pIsaRg)
 
 
-## Open-Source Checklist
-- [x] Base Model
-- [ ] Chat Model
-- [x] Inference Code
-- [x] Instruction Dataset
-
 ## Inference
 
 ### Installation