{"id":15717776,"url":"https://github.com/guslovesmath/llama3_macsilicon","last_synced_at":"2026-03-11T17:02:35.669Z","repository":{"id":238030206,"uuid":"795716448","full_name":"GusLovesMath/Llama3_MacSilicon","owner":"GusLovesMath","description":"Repository for running LLMs efficiently on Mac silicon (M1, M2, M3). Features Jupyter notebook for Meta-Llama-3 setup using MLX framework, with install guide \u0026 perf tips. Aims to optimize LLM performance on Mac silicon for devs \u0026 researchers.","archived":false,"fork":false,"pushed_at":"2024-05-04T13:12:52.000Z","size":96,"stargazers_count":10,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-11T00:33:00.904Z","etag":null,"topics":["apple","llama3","llms","mac","machine-learning"],"latest_commit_sha":null,"homepage":"https://medium.com/@guslovesmath/efficiently-running-meta-llama-3-on-mac-silicon-m1-m2-m3-61585c9bc741","language":"Jupyter Notebook","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/GusLovesMath.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":"2024-05-03T22:00:07.000Z","updated_at":"2025-01-01T17:52:12.000Z","dependencies_parsed_at":"2024-05-03T23:28:03.385Z","dependency_job_id":"93dfb610-4146-432b-9505-24b12e8937a1","html_url":"https://github.com/GusLovesMath/Llama3_MacSilicon","commit_stats":{"total_commits":8,"total_committers":1,"mean_commits":8.0,"dds":0.0,"last_synced_commit":"78406bf6d47970df8bee9167b052f7e39ef5be52"},"previous_names":["guslovesmath/llama3_macsilicon"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FLlama3_MacSilicon","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FLlama3_MacSilicon/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FLlama3_MacSilicon/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FLlama3_MacSilicon/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GusLovesMath","download_url":"https://codeload.github.com/GusLovesMath/Llama3_MacSilicon/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253822260,"owners_count":21969830,"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":["apple","llama3","llms","mac","machine-learning"],"created_at":"2024-10-03T21:51:18.406Z","updated_at":"2026-03-11T17:02:35.580Z","avatar_url":"https://github.com/GusLovesMath.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Meta-Llama-3 on Mac Silicon\n\n## Overview\nThis Jupyter notebook demonstrates how to run the Meta-Llama-3 model on Apple's Mac silicon devices from [**My Medium Post**](https://medium.com/@guslovesmath/efficiently-running-meta-llama-3-on-mac-silicon-m1-m2-m3-61585c9bc741). It includes examples of generating responses from simple prompts and delves into more complex scenarios like solving mathematical problems.\n\n## Requirements\n- Apple Mac with M1, M2, or M3 chip\n- macOS Monterey or later\n- Python 3.x\n- Required Python packages: `ipywidgets`, `torch`, `mlx-lm`\n\n## Setup\nClone this repository and install the necessary packages:\n\n```bash\npip install ipywidgets torch mlx-lm\n```\n\n[MLX Cummunity on Hugging Face](https://huggingface.co/mlx-community)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguslovesmath%2Fllama3_macsilicon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fguslovesmath%2Fllama3_macsilicon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguslovesmath%2Fllama3_macsilicon/lists"}