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README.md
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## 💡介绍
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你好,欢迎来到扁仓中医大模型的开源仓库。
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我们在该仓库中开源以下资源:
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- 扁仓基座模型权重:包括BianCang-Qwen2-7B、BianCang-Qwen2.5-7B。
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- 扁仓指令精调模型权重:包括BianCang-Qwen2-7B-Instruct、BianCang-Qwen2.5-7B-Instruct。
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更多信息请查看[GitHub]([QLU-NLP/BianCang](https://github.com/QLU-NLP/BianCang))
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</thead>
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<tbody align="center" valign="center">
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<tr><td>GPT-4</td><td>24.53</td><td>45.21</td><td>16.67</td><td>70.73</td><td>27.83</td><td>54.54</td><td>41.80</td><td>68.33</td><td>74.70</td><td>76.35</td><td>76.26</td><td>76.37</td></tr>
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<tr><td>Qwen2-7B</td><td>31.74</td><td>27.18</td><td>32.73</td><td>28.40</td><td>41.60</td><td>54.59</td><td>74.87</td><td>77.93</td><td>86.01</td><td>89.18</td><td>84.45</td><td>87.89</td></tr>
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<tr><td>Qwen2-7B-Instruct</td><td>25.70</td><td>33.41</td><td>14.27</td><td>57.00</td><td>32.87</td><td>52.92</td><td>60.40</td><td>60.13</td><td>83.61</td><td>84.22</td><td>79.89</td><td>82.99</td></tr>
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<tr><td>Qwen2.5-7B</td><td>30.44</td><td>21.29</td><td>17.87</td><td>35.73</td><td>23.71</td><td>43.88</td><td>63.87</td><td>71.27</td><td>83.32</td><td>85.52</td><td>82.02</td><td>84.04</td></tr>
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<td>72.97</td>
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<td>75.43</td>
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</tr>
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<tr>
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<td>Qwen2-7B</td>
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<td>81.63</td>
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</table>
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更多测评结果请关注我们的技术报告。
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## 🧡致谢
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</div>
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<div align="center">
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<p>
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<img src="assets/超算logo.png" width="500px"/>
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</p>
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</div>
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<p>
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<div align="center">
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<p>
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</p>
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</div>
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## ❕免责声明
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- 本项目相关资源仅供学术研究之用。
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## 💡介绍
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你好,欢迎来到扁仓中医大模型的开源仓库。
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我们在该仓库中开源以下资源:
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+
- 扁仓基座模型权重:包括BianCang-Qwen2-7B、BianCang-Qwen2.5-7B、BianCang-Qwen2.5-14B。
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- 扁仓指令精调模型权重:包括BianCang-Qwen2-7B-Instruct、BianCang-Qwen2.5-7B-Instruct、BianCang-Qwen2.5-14B-Instruct。
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更多信息请查看[GitHub]([QLU-NLP/BianCang](https://github.com/QLU-NLP/BianCang))
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</thead>
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<tbody align="center" valign="center">
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<tr><td>GPT-4</td><td>24.53</td><td>45.21</td><td>16.67</td><td>70.73</td><td>27.83</td><td>54.54</td><td>41.80</td><td>68.33</td><td>74.70</td><td>76.35</td><td>76.26</td><td>76.37</td></tr>
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<tr><td>DeepSeek-V3</td><td>34.62</td><td>40.74</td><td>24.53</td><td>72.00</td><td>46.97</td><td>59.08</td><td>82.67</td><td>72.93</td><td>84.97</td><td>88.56</td><td>85.05</td><td>87.81</td></tr>
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<tr><td>DeepSeek-R1</td><td>37.17</td><td>55.67</td><td>25.53</td><td>76.07</td><td>50.66</td><td>80.75</td><td>79.27</td><td>94.53</td><td>92.68</td><td>93.10</td><td>90.92</td><td>90.77</td></tr>
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<tr><td>Qwen2-7B</td><td>31.74</td><td>27.18</td><td>32.73</td><td>28.40</td><td>41.60</td><td>54.59</td><td>74.87</td><td>77.93</td><td>86.01</td><td>89.18</td><td>84.45</td><td>87.89</td></tr>
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<tr><td>Qwen2-7B-Instruct</td><td>25.70</td><td>33.41</td><td>14.27</td><td>57.00</td><td>32.87</td><td>52.92</td><td>60.40</td><td>60.13</td><td>83.61</td><td>84.22</td><td>79.89</td><td>82.99</td></tr>
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<tr><td>Qwen2.5-7B</td><td>30.44</td><td>21.29</td><td>17.87</td><td>35.73</td><td>23.71</td><td>43.88</td><td>63.87</td><td>71.27</td><td>83.32</td><td>85.52</td><td>82.02</td><td>84.04</td></tr>
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<td>72.97</td>
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<td>75.43</td>
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</tr>
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<tr>
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<td>DeepSeek-V3</td>
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<td>82.33</td>
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<td>86.83</td>
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<td>89.41</td>
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<td>85.38</td>
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<td>87.59</td>
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<td>79.09</td>
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<td>81.97</td>
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</tr>
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<td>DeepSeek-R1</td>
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<td>86.38</td>
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<td>92.51</td>
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<td>92.36</td>
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<td>91.42</td>
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<td>90.40</td>
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<td>87.03</td>
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<td>86.16</td>
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</tr>
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<tr>
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<td>Qwen2-7B</td>
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<td>81.63</td>
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</table>
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更多测评结果请关注我们的技术报告。
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## 🧡致谢
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</div>
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<div align="center">
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<p>
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<img src="assets/超算logo.png" width="500px"/>
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</p>
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</div>
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<p>
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<div align="center">
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<p>
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</p>
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</div>
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## ❕免责声明
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- 本项目相关资源仅供学术研究之用。
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