{"id":28463810,"url":"https://github.com/deep-div/fine-tuning-llms-and-visionmodels","last_synced_at":"2025-06-30T17:33:02.752Z","repository":{"id":295022853,"uuid":"988826640","full_name":"deep-div/Fine-Tuning-LLMs-and-VisionModels","owner":"deep-div","description":"Fine-Tuning LLMs (Gemma, LLaMA, Mistral, etc.) A practical guide to fine-tuning various large language models using popular frameworks. Includes examples, scripts, and tips for efficient training on custom datasets.","archived":false,"fork":false,"pushed_at":"2025-06-02T11:55:52.000Z","size":553,"stargazers_count":13,"open_issues_count":0,"forks_count":4,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-02T23:56:30.771Z","etag":null,"topics":["deepseek","finetuning-llms","gemma","generative-ai","huggingface","keras-finetuning","large-language-models","llama","llama-factory","llm","transformers","unsloth"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/deep-div.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2025-05-23T06:16:14.000Z","updated_at":"2025-06-02T11:55:56.000Z","dependencies_parsed_at":"2025-05-23T07:57:23.073Z","dependency_job_id":"9c0f72a8-9d58-4009-b982-588aff967950","html_url":"https://github.com/deep-div/Fine-Tuning-LLMs-and-VisionModels","commit_stats":null,"previous_names":["deep-div/fine-tuning-llms","deep-div/fine-tuning-llms-and-visionmodels"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/deep-div/Fine-Tuning-LLMs-and-VisionModels","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deep-div%2FFine-Tuning-LLMs-and-VisionModels","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deep-div%2FFine-Tuning-LLMs-and-VisionModels/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deep-div%2FFine-Tuning-LLMs-and-VisionModels/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deep-div%2FFine-Tuning-LLMs-and-VisionModels/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/deep-div","download_url":"https://codeload.github.com/deep-div/Fine-Tuning-LLMs-and-VisionModels/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deep-div%2FFine-Tuning-LLMs-and-VisionModels/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262819174,"owners_count":23369426,"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":["deepseek","finetuning-llms","gemma","generative-ai","huggingface","keras-finetuning","large-language-models","llama","llama-factory","llm","transformers","unsloth"],"created_at":"2025-06-07T05:00:55.959Z","updated_at":"2025-06-30T17:33:02.732Z","avatar_url":"https://github.com/deep-div.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 Fine-Tuning LLMs (Gemma, LLaMA, Mistral, and More)\n\nWelcome to this curated repository showcasing the fine-tuning of various open-source large language models (LLMs) such as **Gemma**, **LLaMA**, **Mistral**, and others using **Hugging Face Transformers**, **PEFT (LoRA/QLoRA)**, and other modern libraries.\n\nThis repo is designed for researchers, ML engineers, and enthusiasts looking to explore or build on top of custom fine-tuned LLMs.\n\n\n## 🔧 Features\n\n* ✅ Fine-tuning with Hugging Face Trainer and PEFT (LoRA / QLoRA)\n* ✅ Dataset loading and preprocessing\n* ✅ Tokenization and model configuration\n* ✅ Evaluation with custom metrics\n* ✅ Easy-to-edit configs for reproducibility\n* ✅ Support for mixed precision (fp16, bf16)\n\n\n## 🧠 Contributing\n\nGot improvements, additional models, or tips? Contributions are welcome! Just open an issue or submit a pull request.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeep-div%2Ffine-tuning-llms-and-visionmodels","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeep-div%2Ffine-tuning-llms-and-visionmodels","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeep-div%2Ffine-tuning-llms-and-visionmodels/lists"}