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- Arch-Function-1.5B.gguf +1 -1
- README.md +160 -83
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Arch-Function-1.5B.gguf
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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
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base_model:
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- Qwen/Qwen2.5-1.5B-Instruct
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language:
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@@ -22,7 +22,7 @@ In summary, the Katanemo Arch-Function collection demonstrates:
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- **High generalization** across multiple function calling use cases, from API interactions to automated backend tasks.
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- Optimized **low-latency, high-throughput** performance, making it suitable for real-time, production environments.
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-
Arch-Function is the core LLM used in then open source [Arch Gateway](https://github.com/katanemo/arch) to seamlessly integrate user prompts with developers APIs
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## Key Features
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<table>
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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). For each model family, we select the one with the highest rank. The results are shwon below:
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<table>
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<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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</tr>
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<tr style="text-align: center; vertical-align: middle;">
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<td>1</td>
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-
<td>GPT-
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-
<td>
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-
<td>
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<td>
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<td>
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<td>
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<td>70.73%</td>
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-
<td>
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</tr>
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<tr style="text-align: center; vertical-align: middle;">
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<td>
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<td>
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<td>
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<td>
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<td>89.
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<td>
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<td>
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-
<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>
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<td>
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<td>
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<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-3B</td>
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-
<td>56.
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<td>
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<td>
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<td>
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<td>
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</tr>
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-
<tr style="text-align: center; vertical-align: middle;">
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<td>7</td>
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-
<td>mistral-large-2407</td>
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-
<td>55.82%</td>
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-
<td>84.12%</td>
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-
<td>83.09%</td>
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-
<td>67.17%</td>
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-
<td>20.50%</td>
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-
<td>78.05%</td>
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<td>48.93%</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>Claude-3.5-Sonnet-20240620</td>
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-
<td>54.83%</td>
|
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-
<td>70.35%</td>
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-
<td>66.34%</td>
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<td>71.39%</td>
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-
<td>23.5%</td>
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<td>63.41%</td>
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<td>75.91%</td>
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</tr>
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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>
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<td>
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</tr>
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</tr>
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</tr>
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</table>
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@@ -332,4 +409,4 @@ The current temperature in Seattle is 62 degrees in Fahrenheit.
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# License
|
335 |
-
Katanemo Arch-Function collection is distributed under the [Katanemo license](https://huggingface.co/katanemolabs/Arch-Function-1.5B
|
|
|
2 |
license: other
|
3 |
license_name: katanemo-research
|
4 |
license_link: >-
|
5 |
+
https://huggingface.co/katanemolabs/Arch-Function-1.5B/blob/main/LICENSE
|
6 |
base_model:
|
7 |
- Qwen/Qwen2.5-1.5B-Instruct
|
8 |
language:
|
|
|
22 |
- **High generalization** across multiple function calling use cases, from API interactions to automated backend tasks.
|
23 |
- Optimized **low-latency, high-throughput** performance, making it suitable for real-time, production environments.
|
24 |
|
25 |
+
Arch-Function is the core LLM used in then open source [Arch Gateway](https://github.com/katanemo/arch) to seamlessly integrate user prompts with developers APIs
|
26 |
|
27 |
## Key Features
|
28 |
<table>
|
|
|
54 |
|
55 |
|
56 |
## Performance Benchmarks
|
57 |
+
We evaluate Katanemo Arch-Function series on the [Berkeley Function-Calling Leaderboard (BFCL)](https://gorilla.cs.berkeley.edu/leaderboard.html#leaderboard). For each model family, we select the one with the highest rank. The results (as of Oct 21st, 2024) are shwon below:
|
58 |
|
59 |
<table>
|
60 |
<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
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</tr>
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<tr style="text-align: center; vertical-align: middle;">
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<td>1</td>
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+
<td>GPT-4o-2024-08-06 (FC)</td>
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+
<td>62.19%</td>
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<td>85.90%</td>
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+
<td>85.64%</td>
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<td>75.43%</td>
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+
<td>25.00%</td>
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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;">
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+
<td>2</td>
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<td>Functionary-Medium-v3.1 (FC)</td>
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<td>62.02%</td>
|
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<td>89.52%</td>
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<td>89.77%</td>
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<td>73.48%</td>
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<td>23.50%</td>
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<td>70.73%</td>
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<td>73.32%</td>
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</tr>
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<tr style="text-align: center; vertical-align: middle;">
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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>o1-preview-2024-09-12 (Prompt)</td>
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<td>59.27%</td>
|
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<td>86.42%</td>
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<td>88.88%</td>
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<td>73.08%</td>
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<td>17.62%</td>
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117 |
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<td>73.17%</td>
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118 |
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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>
|
124 |
+
<td>85.58%</td>
|
125 |
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<td>88.14%</td>
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126 |
+
<td>69.08%</td>
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+
<td>20.50%</td>
|
128 |
+
<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>
|
136 |
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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>
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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>57.92%</td>
|
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<td>86.58%</td>
|
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<td>89.48%</td>
|
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+
<td>76.28%</td>
|
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<td>9.88%</td>
|
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+
<td>85.37%</td>
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<td>78.54%</td>
|
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+
</tr>
|
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+
<tr style="text-align: center; vertical-align: middle; ">
|
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+
<td>10</td>
|
155 |
+
<td>Hammer2.0-7b (FC)</td>
|
156 |
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<td>57.69%</td>
|
157 |
+
<td>90.27%</td>
|
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<td>89.25%</td>
|
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<td>69.79%</td>
|
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<td>14.75%</td>
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<td>95.12%</td>
|
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<td>68.46%</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>Claude-3.5-Sonnet-20240620 (FC)</td>
|
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<td>57.42%</td>
|
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<td>70.04%</td>
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<td>66.27%</td>
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<td>74.68%</td>
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<td>28.38%</td>
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<td>68.29%</td>
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<td>74.58%</td>
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</tr>
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+
<tr style="text-align: center; vertical-align: middle; ">
|
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+
<td>13</td>
|
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+
<td>mistral-large-2407 (FC)</td>
|
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<td>56.80%</td>
|
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<td>86.62%</td>
|
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<td>84.57%</td>
|
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<td>68.37%</td>
|
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<td>20.62%</td>
|
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<td>75.61%</td>
|
184 |
+
<td>49.44%</td>
|
185 |
</tr>
|
186 |
<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
|
187 |
<td> </td>
|
188 |
<td>Arch-Function-3B</td>
|
189 |
+
<td>56.57%</td>
|
190 |
+
<td>83.62%</td>
|
191 |
+
<td>85.36%</td>
|
192 |
+
<td>66.90%</td>
|
193 |
+
<td>19.50%</td>
|
194 |
+
<td>97.56%</td>
|
195 |
+
<td>70.99%</td>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
196 |
</tr>
|
197 |
</tr>
|
198 |
<tr style="text-align: center; vertical-align: middle; font-weight: bold;">
|
199 |
<td> </td>
|
200 |
<td>Arch-Function-1.5B</td>
|
201 |
+
<td>54.52%</td>
|
202 |
+
<td>80.31%</td>
|
203 |
+
<td>82.04%</td>
|
204 |
+
<td>66.19%</td>
|
205 |
+
<td>17.25%</td>
|
206 |
+
<td>97.56%</td>
|
207 |
+
<td>69.95%</td>
|
208 |
</tr>
|
209 |
+
<tr style="text-align: center; vertical-align: middle; ">
|
210 |
+
<td>19</td>
|
211 |
+
<td>xLAM-7b-r (FC)</td>
|
212 |
+
<td>54.41%</td>
|
213 |
+
<td>81.40%</td>
|
214 |
+
<td>83.46%</td>
|
215 |
+
<td>67.88%</td>
|
216 |
+
<td>14.50%</td>
|
217 |
+
<td>97.56%</td>
|
218 |
+
<td>64.05%</td>
|
219 |
</tr>
|
220 |
+
<tr style="text-align: center; vertical-align: middle; ">
|
221 |
+
<td>20</td>
|
222 |
+
<td>Qwen2.5-7B-Instruct (Prompt)</td>
|
223 |
+
<td>54.27%</td>
|
224 |
+
<td>85.79%</td>
|
225 |
+
<td>88.13%</td>
|
226 |
+
<td>65.97%</td>
|
227 |
+
<td>11.25%</td>
|
228 |
+
<td>92.68%</td>
|
229 |
+
<td>64.95%</td>
|
230 |
+
</tr>
|
231 |
+
<tr style="text-align: center; vertical-align: middle; ">
|
232 |
+
<td>21</td>
|
233 |
+
<td>Llama-3.1-70B-Instruct (Prompt)</td>
|
234 |
+
<td>53.67%</td>
|
235 |
+
<td>88.90%</td>
|
236 |
+
<td>89.34%</td>
|
237 |
+
<td>61.13%</td>
|
238 |
+
<td>12.38%</td>
|
239 |
+
<td>92.68%</td>
|
240 |
+
<td>58.38%</td>
|
241 |
+
</tr>
|
242 |
+
<tr style="text-align: center; vertical-align: middle; ">
|
243 |
+
<td>22</td>
|
244 |
+
<td>Gemma-2-27b-it (Prompt)</td>
|
245 |
+
<td>53.66%</td>
|
246 |
+
<td>88.52%</td>
|
247 |
+
<td>87.89%</td>
|
248 |
+
<td>69.48%</td>
|
249 |
+
<td>4.12%</td>
|
250 |
+
<td>87.8%</td>
|
251 |
+
<td>68.76%</td>
|
252 |
</tr>
|
253 |
</table>
|
254 |
|
|
|
409 |
|
410 |
|
411 |
# License
|
412 |
+
Katanemo Arch-Function collection is distributed under the [Katanemo license](https://huggingface.co/katanemolabs/Arch-Function-1.5B/blob/main/LICENSE).
|