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README.md
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license: other
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license_name: katanemo-research
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license_link: >-
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https://huggingface.co/katanemolabs/Arch-Function-1.5B/blob/main/LICENSE
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base_model:
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language:
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- en
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pipeline_tag: text-generation
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## Performance Benchmarks
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We evaluate Katanemo Arch-Function series on the [Berkeley Function-Calling Leaderboard (BFCL)](https://gorilla.cs.berkeley.edu/leaderboard.html#leaderboard).
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<table>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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<td>63.41%</td>
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<td>82.93%</td>
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<td>62
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<td>73.
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<td>5</td>
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<td>ToolACE-8B (FC)</td>
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<td>60.44%</td>
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<td>87.06%</td>
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<td>89.52%</td>
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<td>74.99%</td>
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<td>17.38%</td>
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<td>80.49%</td>
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<td>85.71%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle;">
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<td>6</td>
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<td>73.17%</td>
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<td>74.60%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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<td> </td>
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<td>Arch-Function-7B</td>
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<td>58.44%</td>
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<td>85.58%</td>
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<td>88.14%</td>
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<td>69.08%</td>
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<td>20.50%</td>
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<td>92.68%</td>
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<td>74.05%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle; ">
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<td>8</td>
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<td>xLAM-8x22b-r (FC)</td>
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<td>57.99%</td>
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<td>88.15%</td>
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<td>90.11%</td>
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<td>71.97%</td>
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<td>14.50%</td>
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<td>85.37%</td>
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<td>67.29%</td>
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<tr style="text-align: center; vertical-align: middle; ">
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<td>9</td>
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<td>Gemini-1.5-Flash-002 (Prompt)</td>
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<td>85.37%</td>
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<td>78.54%</td>
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<td>57.69%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle; ">
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<td>12</td>
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<td>75.61%</td>
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<td>49.44%</td>
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</tr>
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<td> </td>
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<td>Arch-Function-3B</td>
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<td>56.57%</td>
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<td>83.62%</td>
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<td>85.36%</td>
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<td>66.90%</td>
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<td>19.50%</td>
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<td>97.56%</td>
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<td>70.99%</td>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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<td> </td>
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<td>Arch-Function-1.5B</td>
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<td>19</td>
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<td>xLAM-7b-r (FC)</td>
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<td>54.41%</td>
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<td>81.40%</td>
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<td>83.46%</td>
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<td>67.88%</td>
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<td>14.50%</td>
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<td>97.56%</td>
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<td>64.05%</td>
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<td>20</td>
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<td>Qwen2.5-7B-Instruct (Prompt)</td>
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<td>54.27%</td>
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<td>85.79%</td>
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<td>88.13%</td>
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<td>65.97%</td>
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<td>11.25%</td>
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<td>92.68%</td>
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<td>64.95%</td>
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<td>21</td>
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# License
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Katanemo Arch-Function collection is distributed under the [Katanemo license](https://huggingface.co/katanemolabs/Arch-Function-1.5B/blob/main/LICENSE).
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license: other
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license_name: katanemo-research
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license_link: >-
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https://huggingface.co/katanemolabs/Arch-Function-1.5B.gguf/blob/main/LICENSE
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base_model:
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- katanemo/Arch-Function-1.5B
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language:
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- en
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pipeline_tag: text-generation
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## Performance Benchmarks
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We evaluate Katanemo Arch-Function series on the [Berkeley Function-Calling Leaderboard (BFCL)](https://gorilla.cs.berkeley.edu/leaderboard.html#leaderboard). We compare with commonly-used models and the results (as of Oct 21st, 2024) are shwon below. For each model family, we select the one with the highest rank.
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<table>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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<td>63.41%</td>
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<td>82.93%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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<td> </td>
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<td>Arch-Function-7B</td>
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<td>59.62%</td>
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<td>86.83%</td>
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<td>88.07%</td>
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<td>71.57%</td>
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<td>21.00%</td>
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<td>95.12%</td>
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<td>73.63%</td>
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</tr>
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<td>6</td>
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<td>73.17%</td>
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<td>74.60%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle; ">
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<td>9</td>
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<td>Gemini-1.5-Flash-002 (Prompt)</td>
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<td>85.37%</td>
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<td>78.54%</td>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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<td> </td>
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<td>Arch-Function-3B</td>
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<td>57.69%</td>
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<td>85.19%</td>
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<td>86.18%</td>
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<td>71.21%</td>
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<td>17.50%</td>
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<td>90.24%</td>
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<td>72.88%</td>
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<td>12</td>
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<td>75.61%</td>
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<td>49.44%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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<td> </td>
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<td>Arch-Function-1.5B</td>
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<td>56.20%</td>
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<td>84.40%</td>
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<td>83.96%</td>
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<td>69.36%</td>
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<td>15.88%</td>
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<td>87.80%</td>
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<td>74.39%</td>
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</tr>
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<td>21</td>
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# License
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Katanemo Arch-Function collection is distributed under the [Katanemo license](https://huggingface.co/katanemolabs/Arch-Function-1.5B.gguf/blob/main/LICENSE).
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