Update README.md

README.md

@@ -18,15 +18,6 @@ We are excited to announce the release of a lightweight version from the Index s
 - **Index-1.9B chat (this repository's model)** : A dialogue model aligned with SFT and DPO based on the Index-1.9B base. We found that due to the introduction of a lot of internet community corpus in our pre-training, the model has significantly more interesting chatting capabilities.
 - Index-1.9B character : Introduces RAG on top of SFT and DPO to achieve few-shots role-playing customization.
 
-## 模型介绍
-
-我们很高兴首次发布Index系列模型中的轻量版本：Index-1.9B系列
- 本次开源的Index-1.9B 系列包含以下模型： 
-- Index-1.9B base : 基座模型，具有 19亿 非词嵌入参数量，在2.8T 中英文为主的语料上预训练，多个评测基准上与同级别模型比处于领先。
-- Index-1.9B pure : 基座模型的对照组，与base具有相同的参数和训练策略，不同之处在于我们严格过滤了该版本语料中所有指令相关的数据，以此来验证指令对benchmark的影响。
-- **Index-1.9B chat(本仓库模型)** : 基于index-1.9B base通过SFT和DPO对齐后的对话模型，我们发现由于预训练中引入了较多定向清洗的对话类语料，聊天的趣味性明显更强。
-- Index-1.9B character : 在SFT和DPO的基础上引入了RAG来实现fewshots角色扮演定制。
-
 Adapted to llamacpp and Ollama, see [Index-1.9B-Chat-GGUF](https://huggingface.co/IndexTeam/Index-1.9B-Chat-GGUF)
 
 For more details, see our [GitHub](https://github.com/bilibili/Index-1.9B) and [Index-1.9B Technical Report](https://github.com/bilibili/Index-1.9B/blob/main/Index-1.9B%20%E6%8A%80%E6%9C%AF%E6%8A%A5%E5%91%8A.pdf)
@@ -39,7 +30,7 @@ You can load the Index-1.9B-Chat model for dialogue using the following code:
 import argparse
 from transformers import AutoTokenizer, pipeline
 
-# 注意！目录不能含有"."，可以替换成"_"
+# Attention! The directory must not contain "." and can be replaced with "_".
 parser = argparse.ArgumentParser()
 parser.add_argument('--model_path', default="IndexTeam/Index-1.9B-Chat", type=str, help="")
 parser.add_argument('--device', default="cpu", type=str, help="") # also could be "cuda" or "mps" for Apple silicon