{"data":{"slug":"h2oai-h2o-llmstudio","name":"h2o-llmstudio","tagline":"Framework and no-code GUI for fine-tuning LLMs","github_url":"https://github.com/h2oai/h2o-llmstudio","owner":"h2oai","repo":"h2o-llmstudio","owner_avatar_url":"https://avatars.githubusercontent.com/u/1402695?v=4","primary_language":"Python","stars":5183,"forks":557,"topics":["ai","chatbot","chatgpt","fedramp","fine-tuning","finetuning","generative","generative-ai","gpt","llama","llama2","llm","llm-training"],"archived":false,"github_pushed_at":"2026-09-18T22:06:07+00:00","maintenance_label":"Very active","stars_delta_30d":141,"url":"https://www.graphcanon.com/tools/h2oai-h2o-llmstudio","markdown_url":"https://www.graphcanon.com/tools/h2oai-h2o-llmstudio.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/h2oai-h2o-llmstudio","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=h2oai-h2o-llmstudio","description":"H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/","homepage_url":"https://h2o.ai","license":"Apache-2.0","open_issues":36,"watchers":76,"ai_summary":"H2O LLM Studio provides a framework along with a user-friendly interface to facilitate the process of fine-tuning large language models without requiring extensive coding knowledge.","readme_excerpt":"### Recommended Install\n\nThe recommended way to install H2O LLM Studio is using `uv` with Python 3.10. To install Python 3.10 on Ubuntu 20.04+, execute the following commands:\n\n#### Installing NVIDIA Drivers (if required)\n\nIf deploying on a 'bare metal' machine running Ubuntu, one may need to install the required NVIDIA drivers and CUDA. The following commands show how to retrieve the latest drivers for a machine running Ubuntu 20.04 as an example. One can update the following based on their OS.\n\n```bash\nwget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin\nsudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600\nwget https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda-repo-ubuntu2204-12-4-local_12.4.0-550.54.14-1_amd64.deb\nsudo dpkg -i cuda-repo-ubuntu2204-12-4-local_12.4.0-550.54.14-1_amd64.deb\nsudo cp /var/cuda-repo-ubuntu2204-12-4-local/cuda-*-keyring.gpg /usr/share/keyrings/\nsudo apt-get update\nsudo apt-get -y install cuda-toolkit-12-4\n```\n\n---\n\n## Run H2O LLM Studio GUI using Docker\n\nInstall Docker first by following instructions from [NVIDIA Containers](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker). Make sure to have `nvidia-container-toolkit` installed on your machine as outlined in the instructions.\n\nH2O LLM Studio images are stored in the h2oai Docker Hub container repository.\n\n```bash\nmkdir -p `pwd`/llmstudio_mnt\nchmod 777 `pwd`/llmstudio_mnt\n\n---\n\n## License\n\nH2O LLM Studio is licensed under the Apache 2.0 license. Please see the [LICENSE](LICENSE) file for more information.","github_created_at":"2023-04-17T17:56:33+00:00","created_at":"2026-07-11T11:37:19.370809+00:00","updated_at":"2026-09-20T06:28:07.318909+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"chatbot","name":"chatbot"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"generative-ai","name":"generative-ai"},{"slug":"llm-training","name":"llm-training"}],"trust":{"provenance":{"is_fork":false,"github_id":629142696,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-19T18:22:22.863Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":5,"days_since_push":0,"last_release_at":"2026-09-17T09:41:11Z","stars_delta_30d":141,"open_issues_delta_30d":-3},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:37:21.382Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-19T18:22:23.873Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-09-19T18:22:23.873Z","managed_saas":false},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-19T18:22:23.873Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-09-19T18:22:23.873Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-19T18:22:23.873Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["When needing a no-code graphical user interface to simplify the process of fine-tuning LLMs, making the practice more approachable and less code-intensive.","If you are working with specific frameworks for fine-tuning like H2O supports and prefer a streamlined training tool that integrates well within its ecosystem."],"when_not_to_use":["When your project requires direct control over the LLM training process through extensive custom coding, as H2O LLM Studio emphasizes ease of use without as much low-level customization.","If you require support for a specific LLM or feature set not covered by H2O's offerings or integrations."],"source":"enrich:decision_facts","observed_at":"2026-07-14T19:17:16.397Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Adopt for","value":"H2O LLM Studio is designed for users who seek an accessible platform to fine-tune large language models (LLMs) without deep coding expertise."},{"label":"License detail","value":"The Apache-2.0 license allows for free use, modification, and distribution of the software, provided that all modified versions retain notice about the changes made."}]}}