transformers safetensors mistral text-generation xDAN-AI OpenOrca DPO Self-Think en dataset:Open-Orca/OpenOrca dataset:Intel/orca_dpo_pairs license:cc-by-4.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
datasets:
- Open-Orca/OpenOrca
- Intel/orca_dpo_pairs
language:
- en
license: cc-by-4.0
tags:
- xDAN-AI
- OpenOrca
- DPO
- Self-Think
---

<div style="display: flex; justify-content: center; align-items: center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/643197ac288c9775673a01e9/tVAcwKkIH5vkfzqgqHeHi.png" style="width: 45%;">
</div
>


<p align="center">
  <big><b>Top 1 Performer on MT-bench🏆</b
></big>
</p>

<p align="center">
  <strong>**The first top model which is performance at Humanalities, Coding and Writing with 7b. **</strong>
</p>

<p
 align="center"
  <a href="The TOP1 MT-Bench Model">xDAN-AI</a> •
>
  <a href="https://discord.gg/7NrMX5AK">Discord</a> •
  <a href="https://twitter.com/shootime007">Twitter</a> •
  <a href="https://huggingface.co/xDAN-AI">Huggingface</a>
</p>

<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/643197ac288c9775673a01e9/QANDZApzpTHM6sBsjmdew.png" alt="Image" width="50%">
</p>


### Dataset:
1. Selected from OpenOrca
2. Intel Orca-DPO-Pairs
3. Privately Crafted Dataset




**########## First turn ##########**
| model              | turn | score    | size
|--------------------|------|----------|--------
| gpt-4              | 1    | 8.95625  |  -
| **xDAN-L1-Chat-RL-v1** | 1    | **8.87500**  |  **7b**
| xDAN-L2-Chat-RL-v2 | 1    | 8.78750  |  30b
| claude-v1          | 1    | 8.15000  |  -
| gpt-3.5-turbo      | 1    | 8.07500  |  20b
| vicuna-33b-v1.3    | 1    | 7.45625  |  33b
| wizardlm-30b       | 1    | 7.13125  |  30b
| oasst-sft-7-llama-30b | 1 | 7.10625  |  30b
| Llama-2-70b-chat   | 1    | 6.98750  |  70b


########## Second turn ##########
| model              | turn | score     | size
|--------------------|------|-----------|--------
| gpt-4              | 2    | 9.025000  |  -
| xDAN-L2-Chat-RL-v2 | 2    | 8.087500  |  30b
| **xDAN-L1-Chat-RL-v1** | 2   | **7.825000**  |   **7b**
| gpt-3.5-turbo      | 2    | 7.812500  |  20b
| claude-v1          | 2    | 7.650000  |  -
| wizardlm-30b       | 2    | 6.887500  |  30b
| vicuna-33b-v1.3    | 2    | 6.787500  |  33b
| Llama-2-70b-chat   | 2    | 6.725000  |  70b

########## Average turn##########
| model              | score     | size
|--------------------|-----------|--------
| gpt-4              | 8.990625  |  -
| xDAN-L2-Chat-RL-v2 | 8.437500  |  30b
| **xDAN-L1-Chat-RL-v1** | **8.350000**  |  **7b**
| gpt-3.5-turbo      | 7.943750  |  20b
| claude-v1          | 7.900000  |  -
| vicuna-33b-v1.3    | 7.121875  |  33b
| wizardlm-30b       | 7.009375  |  30b
| Llama-2-70b-chat   | 6.856250  |  70b

### Prompt Template(Alpaca)
You are a helpful assistant named DAN. You are an expert in worldly knowledge, skilled in employing a probing questioning strategy, 
and you carefully consider each step before providing answers. 
\n\n### Instruction:\n{instruction}\n\n### Response:


## Created By xDAN-AI at 2023-12-15
## Eval by FastChat: https://github.com/lm-sys/FastChat.git

 

Disclaimer
We employ data compliance checking algorithms during the training of our language model to strive for the highest degree of compliance. However, given the intricate nature of data and the vast array of potential usage scenarios for the model, we cannot assure that it will always generate correct and reasonable outputs. Users should be cognizant of the risk of the model producing problematic outputs. Our organization will not bear responsibility for any risks or issues stemming from misuse, misguidance, illegal use, and related misinformation, as well as any consequent data security concerns.

About xDAN-AI xDAN-AI is a top lead high-performance model factory. For detailed information and further insights into our cutting-edge technology and offerings, please visit our website: https://www.xdan.ai.