{"id":20618267,"url":"https://github.com/tddschn/modelz-starcoder","last_synced_at":"2026-06-04T19:31:45.673Z","repository":{"id":175236187,"uuid":"653535962","full_name":"tddschn/modelz-starcoder","owner":"tddschn","description":null,"archived":false,"fork":false,"pushed_at":"2023-06-15T09:00:21.000Z","size":19,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-04-16T21:06:09.094Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"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/tddschn.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":"2023-06-14T08:38:32.000Z","updated_at":"2023-06-15T08:36:23.000Z","dependencies_parsed_at":"2023-07-09T22:45:25.874Z","dependency_job_id":null,"html_url":"https://github.com/tddschn/modelz-starcoder","commit_stats":null,"previous_names":["tddschn/modelz-starcoder"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tddschn/modelz-starcoder","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tddschn%2Fmodelz-starcoder","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tddschn%2Fmodelz-starcoder/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tddschn%2Fmodelz-starcoder/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tddschn%2Fmodelz-starcoder/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tddschn","download_url":"https://codeload.github.com/tddschn/modelz-starcoder/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tddschn%2Fmodelz-starcoder/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33917183,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-04T02:00:06.755Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-11-16T12:07:45.887Z","updated_at":"2026-06-04T19:31:45.656Z","avatar_url":"https://github.com/tddschn.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Modelz MusicGen\n\n[StarCoder](https://huggingface.co/bigcode/starcoder) is a language model (LM) trained on source code and natural language text. Its training data incorporates more that 80 different programming languages as well as text extracted from GitHub issues and commits and from notebooks.\n\nThis repository contains the code (Dockerfile, [`build.envd`](https://envd.tensorchord.ai/guide/getting-started.html)) for deploying MusicGen on [Modelz](https://docs.modelz.ai/).\n\n## Getting Started\n\nThis is a template for creating a [Gradio](https://gradio.app/) app on [Modelz](https://modelz.ai/).\n\nBuilding an Gradio app could be straightforward. You will need to provide three key components:\n\n- A `main.py` file: This file contains the code for making predictions.\n- A `requirements.txt` file: This file lists all the dependencies required for the server code to run.\n- A `Dockerfile` or a simpler [`build.envd`](https://envd.tensorchord.ai/guide/getting-started.html): This file contains instructions for building a Docker image that encapsulates the server code and its dependencies.\n\n## Build\n\nIn the `Dockerfile`, you need to define the instructions for building a Docker image that encapsulates the server code and its dependencies.\n\nIn most cases, you could use the template in the repository.\n\n```bash\ndocker build -t docker.io/USER/IMAGE .\ndocker push docker.io/USER/IMAGE\n```\n\nOn the other hand, a [`build.envd`](https://envd.tensorchord.ai/guide/getting-started.html) is a simplified alternative to a Dockerfile. It provides python-based interfaces that contains configuration settings for building a image. \n\nIt is easier to use than a Dockerfile as it involves specifying only the dependencies of your machine learning model, not the instructions for CUDA, conda, and other system-level dependencies.\n\n```bash\nenvd build --output type=image,name=docker.io/USER/IMAGE,push=true\n```\n\n## Deploy\n\nPlease refer to the [Modelz documentation](https://docs.modelz.ai/gettingstarted/deploy) for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftddschn%2Fmodelz-starcoder","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftddschn%2Fmodelz-starcoder","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftddschn%2Fmodelz-starcoder/lists"}