Upload README.md

README.md

@@ -21,27 +21,31 @@ As a small student team, instead of pursuing the best model with better data, co
 ## Model Weights
 Currently, three models are released in total: OpenMoE-base, OpenMoE-8B(and its chat version), and OpenMoE-34B(intermediate checkpoint at 200B tokens). 
 
+The table below lists the 8B model that has completed training, along with its chat version.
+
 | Model Name     | Description                      | #Param   |Huggingface |
 |----------------|-------------------------------------------------|----------|-------------|
 | **OpenMoE-8B(1.1T)**   | 8B MoE with comparable FLOPs of a 1.6B LLaMA(No SFT)  |8B        |[Link](https://huggingface.co/OrionZheng/openmoe-8b) |
 | **OpenMoE-8B-Chat (1.1T+SFT)**   | OpenMoE-8B-1.1T supervised finetuned on the [WildChat GPT-4 Subset](https://huggingface.co/datasets/allenai/WildChat-nontoxic)   |8B        |[Link](https://huggingface.co/OrionZheng/openmoe-8b-chat) |
-| **OpenMoE-34B (200B)**   |  34B MoE with comparable FLOPs of a 7B LLaMA(No SFT)  |34B        |[Link](https://huggingface.co/OrionZheng/openmoe-34b-200B) |
 
-Besides, we also release all our intermediate checkpoints for research purposes:  
+
+Besides, we also provide our intermediate checkpoints(base, 8B, 34B) for research purposes.
 
 | Model Name     | Description                      | #Param   |Huggingface |
 |----------------|-------------------------------------------------|----------|-------------|
+| **OpenMoE-34B-200B**   |  34B MoE with comparable FLOPs of a 7B LLaMA(No SFT)  |34B        |[Link](https://huggingface.co/OrionZheng/openmoe-34b-200B) |
 | OpenMoE-8B-200B   | 8B MoE with comparable FLOPs of a 1.6B LLaMA(No SFT) |8B        |[Link](https://huggingface.co/OrionZheng/openmoe-8b-200B) |
 | OpenMoE-8B-400B   | 8B MoE with comparable FLOPs of a 1.6B LLaMA(No SFT)  |8B        |[Link](https://huggingface.co/OrionZheng/openmoe-8b-400B) | 
 | OpenMoE-8B-600B   | 8B MoE with comparable FLOPs of a 1.6B LLaMA(No SFT) |8B        |[Link](https://huggingface.co/OrionZheng/openmoe-8b-600B) |
 | OpenMoE-8B-800B   | 8B MoE with comparable FLOPs of a 1.6B LLaMA(No SFT)  |8B        |[Link](https://huggingface.co/OrionZheng/openmoe-8b-800B) | 
 | OpenMoE-8B-1T   | 8B MoE with comparable FLOPs of a 1.6B LLaMA(No SFT)  |8B        |[Link](https://huggingface.co/OrionZheng/openmoe-8b-1T) | 
-| OpenMoE-base   | A small MoE model for debugging only       |637M      |[Link](https://huggingface.co/OrionZheng/openmoe-base) |  
-| OpenLLaMA-base | A dense counter-part of OpenMoE-base            |310M      |[Link](https://huggingface.co/fuzhao/OpenLLaMA_Base) |
+| OpenMoE-base(128B)   | A small MoE model for debugging only       |637M      |[Link](https://huggingface.co/OrionZheng/openmoe-base) |  
+| OpenLLaMA-base(128B) | A dense counter-part of OpenMoE-base            |310M      |[Link](https://huggingface.co/fuzhao/OpenLLaMA_Base) |
+
 
 The base model, which were trained using 128 billion tokens, served primarily for debugging purposes. After validating the effectiveness of our model architecture, we did not pursue further training. Consequently, their performance might not be very well, and the checkpoint are not suitable for practical applications. Better performence can be oberved from our 8B or 34B versions.
 
-The OpenMoE-8B with 4 MoE layers and 32 experts has been trained by 1.1T tokens. The SFT version has also been released after we finetuned the OpenMoE-8B-1.1T on the [wildchat]((https://huggingface.co/datasets/allenai/WildChat-nontoxic)) dataset's GPT-4 subset. Besides, we also provide some intermediate checkpoints at 200B and 890B tokens for research purposes.
+The OpenMoE-8B with 4 MoE layers and 32 experts has been trained by 1.1T tokens. The SFT version has also been released after we finetuned the OpenMoE-8B-1.1T on the [wildchat]((https://huggingface.co/datasets/allenai/WildChat-nontoxic)) dataset's GPT-4 subset. The intermediate checkpoints at 200B, 400B, 600B, 800B, 1T tokens can be used to study the training dynamics of MoE architexture.
 
 We are still training our OpenMoE-34B, which is a MoE model with 8 MoE layer and 32 experts. We released the intermediate checkpoint trained on 200B tokens on huggingface. If you are interested in the latest checkpoint, please feel free to drop Fuzhao an email (f.xue@u.nus.edu).