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Run Gemma 4 with MLX on Mac in 5 Minutes - Apple silicon Mac/Macbook/Mac Mini
MLX is faster than Ollama (60 vs 55 for the model used in video). In this video, I'll show you how to run Gemma 4 (Google's latest open-source AI model) entirely on your Apple Silicon Mac using the MLX framework — no cloud, no subscription, no data leaving your machine. The Mac spec: M3 Max with 36GB unified RAM. #applesilicon #apple #macmini #macbook #m4 #m3 #mlx #openai #opensource #llm #m5 #ollama
👉ⓢⓤⓑⓢⓒⓡⓘⓑⓔ
👉 !! try Wan Video online at https://agireact.com/wan-t2v !!
🛠️ Tools & Links Used:
🔗 MLX Framework: [https://ml-explore.github.io/mlx/build/html/index.html]
🔗 mlx-vlm: [https://github.com/Blaizzy/mlx-vlm]
🔗 Unsloth Gemma 4-E4B quantized model (HuggingFace): [https://huggingface.co/unsloth/gemma-4-E4B-it-UD-MLX-4bit]
Playlist: https://www.youtube.com/playlist?list=PLAhnBIAZe37MVhUHe3eUrH3QputrpBCrP
Ollama run Gemma4 (gguf) benchmark: https://youtu.be/iB_r_cCQCwg
3090 4090 5090 run Gemma4: https://youtu.be/VYc47oqBnqI
Phone (ios or android) run Gemma 4: https://youtu.be/fsFANWfTn3M
Update: Run Flux.1-Kontext image editing model in Mac: https://youtu.be/y0BsNT7ihxs
For Installation of Wan on ComfyUI: https://youtu.be/tBKd2vB4n2o
For installation of GGUF (reduce VRAM, disk space requirements ): https://youtu.be/9Sg9tHdTzRs
ComfyUI Workflow download: https://agireact.com/workflow-download
Please join the discord server at https://discord.gg/SgmBydQ2Mn where you developed free chatgpt bot and stable diffusion bot!
If you would like to support me, here is my Kofi link: https://ko-fi.com/techpractice and Patreon page: https://www.patreon.com/user?u=89548519
Thank you for watching!
Tutorial links:
For python virtualenv install, see https://youtu.be/uOCL6h9fuVc
ComfyUI for more advanced workflows
ComfyUI on Macbook tutorial: https://youtu.be/ZCswfm0dBYY
FLUX on Macbook: https://youtu.be/asngm4s_9Ho
The ComfyUI workflow can be downloaded from https://github.com/ttio2tech/ComfyUI_workflows_collection (Pulid_flux_workflow.json)
Affiliate links: buy hardware on Amazon
Mac-Mini M4: https://amzn.to/4emPxrB (also has coupon)
AMD GPU: https://amzn.to/3vCp6h1
4600G https://amzn.to/45LhGFa
5600G: https://amzn.to/3LgnFtC (same iGPU, better CPU)
5700G: https://amzn.to/3Z9gUiM (better iGPU, and better CPU)
ssd drive: https://amzn.to/3MVJdg2
DDR4 drive: https://amzn.to/3sKNufi
AM4 motherboard: https://amzn.to/3GfrPit
PSU (power supply unit): https://amzn.to/3Gd87UA
PC Case: https://amzn.to/3QPDNnF
if you are interested in discrete GPU: https://amzn.to/3QT1wDp
Видео Run Gemma 4 with MLX on Mac in 5 Minutes - Apple silicon Mac/Macbook/Mac Mini канала Tech-Practice
👉ⓢⓤⓑⓢⓒⓡⓘⓑⓔ
👉 !! try Wan Video online at https://agireact.com/wan-t2v !!
🛠️ Tools & Links Used:
🔗 MLX Framework: [https://ml-explore.github.io/mlx/build/html/index.html]
🔗 mlx-vlm: [https://github.com/Blaizzy/mlx-vlm]
🔗 Unsloth Gemma 4-E4B quantized model (HuggingFace): [https://huggingface.co/unsloth/gemma-4-E4B-it-UD-MLX-4bit]
Playlist: https://www.youtube.com/playlist?list=PLAhnBIAZe37MVhUHe3eUrH3QputrpBCrP
Ollama run Gemma4 (gguf) benchmark: https://youtu.be/iB_r_cCQCwg
3090 4090 5090 run Gemma4: https://youtu.be/VYc47oqBnqI
Phone (ios or android) run Gemma 4: https://youtu.be/fsFANWfTn3M
Update: Run Flux.1-Kontext image editing model in Mac: https://youtu.be/y0BsNT7ihxs
For Installation of Wan on ComfyUI: https://youtu.be/tBKd2vB4n2o
For installation of GGUF (reduce VRAM, disk space requirements ): https://youtu.be/9Sg9tHdTzRs
ComfyUI Workflow download: https://agireact.com/workflow-download
Please join the discord server at https://discord.gg/SgmBydQ2Mn where you developed free chatgpt bot and stable diffusion bot!
If you would like to support me, here is my Kofi link: https://ko-fi.com/techpractice and Patreon page: https://www.patreon.com/user?u=89548519
Thank you for watching!
Tutorial links:
For python virtualenv install, see https://youtu.be/uOCL6h9fuVc
ComfyUI for more advanced workflows
ComfyUI on Macbook tutorial: https://youtu.be/ZCswfm0dBYY
FLUX on Macbook: https://youtu.be/asngm4s_9Ho
The ComfyUI workflow can be downloaded from https://github.com/ttio2tech/ComfyUI_workflows_collection (Pulid_flux_workflow.json)
Affiliate links: buy hardware on Amazon
Mac-Mini M4: https://amzn.to/4emPxrB (also has coupon)
AMD GPU: https://amzn.to/3vCp6h1
4600G https://amzn.to/45LhGFa
5600G: https://amzn.to/3LgnFtC (same iGPU, better CPU)
5700G: https://amzn.to/3Z9gUiM (better iGPU, and better CPU)
ssd drive: https://amzn.to/3MVJdg2
DDR4 drive: https://amzn.to/3sKNufi
AM4 motherboard: https://amzn.to/3GfrPit
PSU (power supply unit): https://amzn.to/3Gd87UA
PC Case: https://amzn.to/3QPDNnF
if you are interested in discrete GPU: https://amzn.to/3QT1wDp
Видео Run Gemma 4 with MLX on Mac in 5 Minutes - Apple silicon Mac/Macbook/Mac Mini канала Tech-Practice
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14 апреля 2026 г. 23:00:47
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