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-🤗 <a href="https://huggingface.co/OrionStarAI/Orion-14B" target="_blank">HuggingFace Model Download</a> |  🤖 <a href="https://modelscope.cn/models/OrionStarAI/Orion-14B/summary" target="_blank">ModelScope Download</a>
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         <b>🌐English</b> |
-        <a href="https://huggingface.co/OrionStarAI/Orion-14B-Base/blob/main/README.md">🇨🇳中文</a>
+        <a href="https://huggingface.co/OrionStarAI/Orion-14B-Base/blob/master/README.MD">🇨🇳中文</a><br><br>
+        🤗 <a href="https://huggingface.co/OrionStarAI" target="_blank">HuggingFace Mainpage</a> | 🤖 <a href="https://modelscope.cn/organization/OrionStarAI" target="_blank">ModelScope Mainpage</a> | 🎬 <a href="https://modelscope.cn/studios/OrionStarAI/Orion-14B/summary" target="_blank">Online Demo</a>
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 # Table of Contents
 
 - [📖 Model Introduction](#model-introduction)
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 - In mainstream benchmark evaluations, the Orion-14B series models demonstrate outstanding competitiveness, significantly surpassing models of similar scales. Based on benchmark results, the Orion-14B series models are also the first to be evaluated across more than three languages in the domain of LLM. We hope that the contributions of all Orion Star colleagues establish a new benchmark for the research field of multilingual LLMs.
 
+- Orion-14B series models including:
+  - **Orion-14B-Base:**  A multilingual large language foundational model with 14 billion parameters, pretrained on a diverse dataset of 2.5 trillion tokens.
+  - **Orion-14B-Chat:**  A chat-model fine-tuned on a high-quality corpus aims to provide an excellence interactive experience for users in the large model community.
+  - **Orion-14B-LongChat:**  This model is optimized for long context lengths more than 200k tokens and demonstrates performance comparable to proprietary models on long context evaluation sets.
+  - **Orion-14B-RAG:**  A chat-model fine-tuned on a custom retrieval augmented generation dataset, achieving superior performance in retrieval augmented generation tasks.
+  - **Orion-14B-PlugIn:**  A chat-model specifically tailored for plugin and function calling tasks, ideal for agent-related scenarios where the LLM acts as a plugin and function call system.
+  - **Orion-14B-Base-Int4:**  A quantized base model utilizing 4-bit integer weights. It significantly reduces the model size by 70% and increases the inference speed by 30% while incurring a minimal performance loss of only 1%.
+  - **Orion-14B-Chat-Int4:**  A quantized chat model utilizing 4-bit integer weights.
 
 # Model Download