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AReaL
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add hf links in readme and blog (#75) 

* add hf links in readme and blog

* fix

* add model link in table

* add model link in table

---------

Co-authored-by: hcy <hechuyi.hcy@antgroup.com>
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10
README.md
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@ -3,7 +3,7 @@
</h1>
<p align="center">
| <a href="https://arxiv.org/pdf/2505.24298"><b>Paper</b></a> | <a href="https://inclusionai.github.io/AReaL/"><b>Documentation</b></a> | <a href="https://deepwiki.com/inclusionAI/AReaL"><b>Ask DeepWiki</b></a> |
| <a href="https://arxiv.org/pdf/2505.24298"><b>Paper</b></a> | <a href="https://inclusionai.github.io/AReaL/"><b>Documentation</b></a> | <a href="https://deepwiki.com/inclusionAI/AReaL"><b>Ask DeepWiki</b></a> | <a href="https://huggingface.co/collections/inclusionAI/areal-boba-2-683f0e819ccb7bb2e1b2f2d5"><b>🤗 Models & Data</b></a> |
</p>
<img align="right" alt="ReaL" src="/assets/logo.png" width="20%">
@ -65,15 +65,15 @@ We use **Qwen3** as our base model. After asynchronous RL training, we achieve S
| :---: | :---: | :---: | :---: |
| Qwen3-8B | 58.8 | 1879/96.7% | 31.4 |
| DeepSeek-R1-0528-Qwen3-8B | 58.4 | 1945/97.3% | 31.0 |
| AReaL-boba²-8B-Open | 62.0 | 1933/97.2% | **41.4** |
| AReaL-boba²-8B | **63.0** | **1962/97.5%** | 40.8 |
| [🤗 AReaL-boba²-8B-Open](https://huggingface.co/inclusionAI/AReaL-boba-2-8B-subset) | 62.0 | 1933/97.2% | **41.4** |
| [🤗 AReaL-boba²-8B](https://huggingface.co/inclusionAI/AReaL-boba-2-8B) | **63.0** | **1962/97.5%** | 40.8 |
| **Model (14B)** | **LiveCodeBench v5**<br/>**(2024.10-2025.2)** | **Codeforce** | **CodeContests** |
| :---: | :---: | :---: | :---: |
| Qwen3-14B | 65.4 | 1978/97.7% | 38.3 |
| DeepCoder-14B-Preview | 60.6 | 1936/95.3% | 40.1 |
| AReaL-boba²-14B-Open | 67.3 | 1990/97.8% | **46.2** |
| AReal-boba²-14B | **69.1** | **2044/98.2%** | 46.1 |
| [🤗 AReaL-boba²-14B-Open](https://huggingface.co/inclusionAI/AReaL-boba-2-14B-subset) | 67.3 | 1990/97.8% | **46.2** |
| [🤗 AReal-boba²-14B](https://huggingface.co/inclusionAI/AReaL-boba-2-14B) | **69.1** | **2044/98.2%** | 46.1 |
| **Larger Models** | **LiveCodeBench v5**<br/>**(2024.10-2025.2)** | **Codeforce** | **Codecontest** |
| :---: | :---: | :---: | :---: |

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blog/AReaL_v0_3.md
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@ -14,15 +14,15 @@ We now release AReaL v0.3, featuring three major milestones:
|:---:|:---:|:---:|:---:|
| Qwen3-8B | 58.8 | 1879/96.7% | 31.4 |
| DeepSeek-R1-0528-Qwen3-8B | 58.4 | 1945/97.3% | 31.0 |
| AReaL-boba²-8B-Open | 62.0 | 1933/97.2% | **41.4** |
| AReaL-boba²-8B | **63.0** | **1962/97.5%** | 40.8 |
| [🤗 AReaL-boba²-8B-Open](https://huggingface.co/inclusionAI/AReaL-boba-2-8B-subset) | 62.0 | 1933/97.2% | **41.4** |
| [🤗 AReaL-boba²-8B](https://huggingface.co/inclusionAI/AReaL-boba-2-8B) | **63.0** | **1962/97.5%** | 40.8 |
| **Model (14B)** | **LiveCodeBench v5** (2024.10-2025.2) | **Codeforce** | **CodeContests** |
|:---:|:---:|:---:|:---:|
| Qwen3-14B | 65.4 | 1978/97.7% | 38.3 |
| DeepCoder-14B-Preview | 60.6 | 1936/95.3% | 40.1 |
| AReaL-boba²-14B-Open | 67.3 | 1990/97.8% | **46.2** |
| AReal-boba²-14B | **69.1** | **2044/98.2%** | 46.1 |
| [🤗 AReaL-boba²-14B-Open](https://huggingface.co/inclusionAI/AReaL-boba-2-14B-subset) | 67.3 | 1990/97.8% | **46.2** |
| [🤗 AReal-boba²-14B](https://huggingface.co/inclusionAI/AReaL-boba-2-14B) | **69.1** | **2044/98.2%** | 46.1 |
| **Larger Models** | **LiveCodeBench v5** (2024.10-2025.2) | **Codeforce** | **CodeContests** |
|:---:|:---:|:---:|:---:|
@ -32,6 +32,8 @@ We now release AReaL v0.3, featuring three major milestones:
*Table 1: Coding Task Performance Comparison. AReaL-boba²-8B/14B-Open denotes training results on open-sourced data. AReaL-boba²-8B/14B models are trained with an additional small amount of internal data and achieve SOTA performance on LiveCodeBench, Codeforce & CodeContests.*
To access our latest models and training data, please visit this [Huggingface Link](https://huggingface.co/collections/inclusionAI/areal-boba-2-683f0e819ccb7bb2e1b2f2d5).
## Motivation for Asynchronous RL System
### Inference devices are underutilized