├── LICENSE └── README.md /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 TJian 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # awesome-large-action-model 2 | Large Action Model: Models that could help gets things done. 3 | 4 | # Open Source Visual Large Action Model: 5 | 6 | 1. CogAgent: A Visual Language Model for GUI Agents [Paper](https://arxiv.org/abs/2312.08914) [Github](https://github.com/THUDM/CogVLM) [Demo](http://36.103.203.44:7861/) 7 | ![image](https://github.com/tjtanaa/awesome-large-action-model/assets/29171856/8377c46d-8280-4151-bc1b-c65cb894e305) 8 | 9 | # Open Source Large Action Model: 10 | 11 | 1. Gorilla: Large Language Model Connected with Massive APIs [Project](https://gorilla.cs.berkeley.edu/blogs/4_open_functions.html) [Github](https://github.com/ShishirPatil/gorilla?tab=readme-ov-file) [Paper](https://github.com/ShishirPatil/gorilla/tree/main/openfunctions) [HF Model v1](https://huggingface.co/gorilla-llm/gorilla-openfunctions-v1) 12 | ![image](https://github.com/tjtanaa/awesome-large-action-model/assets/29171856/ea3054c9-587b-4600-a9af-06afcc1f650f) 13 | 14 | 2. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs [Paper](https://arxiv.org/pdf/2307.16789.pdf) [Github](https://github.com/OpenBMB/ToolBench) [HF Model v1](https://huggingface.co/ToolBench/ToolLLaMA-2-7b-v1) [HF Model v2](https://huggingface.co/ToolBench/ToolLLaMA-2-7b-v2) 15 | 16 | 3. Empowering LLM to use Smartphone for Intelligent Task Automation [Project](https://autodroid-sys.github.io/) [Paper](https://arxiv.org/abs/2308.15272) [Github](https://github.com/MobileLLM/AutoDroid) 17 | 18 | 4. MetaTool Benchmark: Deciding Whether to Use Tools and Which to Use [Paper](https://arxiv.org/abs/2310.03128) [Github](https://github.com/HowieHwong/MetaTool?tab=readme-ov-file) 19 | 20 | 5. T-Eval: Evaluating the Tool Utilization Capability Step by Step [Project](https://open-compass.github.io/T-Eval/) [Paper](https://arxiv.org/abs/2312.14033) [Github](https://github.com/open-compass/T-Eval) [Dataset](https://huggingface.co/datasets/lovesnowbest/T-Eval) [Leaderboard](https://open-compass.github.io/T-Eval/leaderboard.html) 21 | 22 | --------------------------------------------------------------------------------