| #### INSTALLATIONS | |
| ```bash | |
| # Linux/Android (Termux)/MacOS/Windows. | |
| # Make sure you have "python3" and "pip" installed. | |
| # This package have very small size. | |
| pip install gradio_client rich --upgrade | |
| # If you are using Python 3.12 or newer. | |
| pip install gradio_client rich --upgrade --ignore-installed --break-system-packages | |
| ``` | |
| #### CREATE JARVIS FILE | |
| ```bash | |
| # I'm using nano editor. | |
| # You can use any file editor you want. | |
| nano jarvis # or whatever you want. | |
| ``` | |
| ### JARVIS MAIN SCRIPT | |
| ```python | |
| #!/usr/bin/env python3 | |
| import sys | |
| from gradio_client import Client | |
| from rich.console import Console | |
| from rich.markdown import Markdown | |
| console = Console() | |
| jarvis = Client("hadadrjt/ai") | |
| input = " ".join(sys.argv[1:]) if len(sys.argv) > 1 else "Hi!" | |
| result = jarvis.predict(multi={"text": input}, api_name="/api") | |
| responses = result[0][0][1] | |
| markdown = Markdown(responses) | |
| console.print(markdown) | |
| ``` | |
| ### JARVIS MULTI PLATFORM SCRIPT | |
| ```python | |
| #!/usr/bin/env python3 | |
| import sys | |
| from gradio_client import Client | |
| from rich.console import Console | |
| from rich.markdown import Markdown | |
| console = Console() | |
| jarvis = Client("hadadrjt/ai") | |
| model = "JARVIS: 2.1.2" # default to JARVIS, you can change the model here. | |
| jarvis.predict(new=model, api_name="/change_model") | |
| input_text = " ".join(sys.argv[1:]) if len(sys.argv) > 1 else "Hi!" | |
| result = jarvis.predict(multi={"text": input_text}, api_name="/api") | |
| response_text = result[0][0][1] | |
| console.print(Markdown(response_text)) | |
| ``` | |
| ### SET PERMISSION | |
| ```bash | |
| # Set permission (Linux/Android [Termux]/MacOS). | |
| # Windows users set permissions to 755 according with linux. | |
| chmod a+x jarvis | |
| ``` | |
| ### RUN JARVIS | |
| ```bash | |
| ./jarvis "Your message here." | |
| # According the name file you create. | |
| ``` | |
| #### LINUX USER's | |
| ```bash | |
| # Bonus for more flexible. | |
| sudo mv jarvis /bin/ai | |
| # Now you can run with simple command. | |
| ai "Your message here." | |
| ``` | |
| ### AVAILABLE MODELS | |
| ``` | |
| Choose one of the model name for the JARVIS multi platform. | |
| 1. JARVIS: 2.1.2 | |
| 2. DeepSeek: V3-0324 | |
| 3. DeepSeek: R1 (Reasoning) | |
| 4. DeepSeek: R1 - Distill Qwen 14B (Reasoning) | |
| 5. DeepSeek: R1 - Distill Qwen 32B (Reasoning) | |
| 6. DeepSeek: R1 - Distill Llama 70B (Reasoning) | |
| 7. Google: Gemma 3 1B-IT | |
| 8. Google: Gemma 3 4B-IT | |
| 9. Google: Gemma 3 27B-IT | |
| 10. Meta: Llama 3.1 8B Instruct | |
| 11. Meta: Llama 3.2 3B Instruct | |
| 12. Meta: Llama 3.3 70B Instruct | |
| 13. Meta: Llama 4 Maverick 17B 128E Instruct | |
| 14. Meta: Llama 4 Scout 17B 16E Instruct | |
| 15. Qwen: Qwen2.5 VL 3B Instruct | |
| 16. Qwen: Qwen2.5 VL 32B Instruct | |
| 17. Qwen: Qwen2.5 VL 72B Instruct | |
| 18. Agentica: Deepcoder 14B Preview | |
| ``` | |