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Unplugging completely! No WiFi and zero notifications. A great way to get deep focus on a project. Here is a walkthrough showing how to run Gemma 4 (26B A4B) fully offline with LM Studio & OpenCode to parse PDFs, ask questions, and build sites 100% locally.

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Google Gemma

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235,568 görüntüleme • 2 ay önce •via X (Twitter)

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A long time coming but new mlx-lm is here with better batching support in the server and Gemma 4. pip install -U mlx-lm Here is a video where a single M3 Ultra serves 5 opencode sessions with Gemma 4 26B that process ~130k tokens in ~1.5 minutes.
2:03

A long time coming but new mlx-lm is here with better batching support in the server and Gemma 4. pip install -U mlx-lm Here is a video where a single M3 Ultra serves 5 opencode sessions with Gemma 4 26B that process ~130k tokens in ~1.5 minutes.

Angelos Katharopoulos

66,128 görüntüleme • 2 ay önce

Check out this video on how to run Gemma 4 locally on an iPhone! It runs completely offline and handles long context, meaning no data plan, no API calls, and no monthly fees required.
0:43

Check out this video on how to run Gemma 4 locally on an iPhone! It runs completely offline and handles long context, meaning no data plan, no API calls, and no monthly fees required.

Google Gemma

398,433 görüntüleme • 2 ay önce

What does it take to run 3, 5, or even 10 concurrent instances of Gemma 4 locally? We've open-sourced a demo letting you run multiple models side-by-side on your hardware. Gemma 4 26B A4B easily runs 10+ concurrent requests on a MacBook Pro M4 Max at 18 tokens/sec per request.
0:48

What does it take to run 3, 5, or even 10 concurrent instances of Gemma 4 locally? We've open-sourced a demo letting you run multiple models side-by-side on your hardware. Gemma 4 26B A4B easily runs 10+ concurrent requests on a MacBook Pro M4 Max at 18 tokens/sec per request.

Google Gemma

912,192 görüntüleme • 2 ay önce

OK it's a game changer You can create and run an AI agent 100% locally on your laptop. No need to connect or pay a provider like OpenAI or Anthropic. Combine the open source Google Gemma 3 model, Smolagents and LM Studio and you're ready. (Links and resources below) #gifted
17:24

OK it's a game changer You can create and run an AI agent 100% locally on your laptop. No need to connect or pay a provider like OpenAI or Anthropic. Combine the open source Google Gemma 3 model, Smolagents and LM Studio and you're ready. (Links and resources below) #gifted

Paul Couvert

78,710 görüntüleme • 1 yıl önce

Kept you waiting, huh? 100% local and open source. Powered by Mario Zechner' pi coupled with qwen3 tts, parakeet.cpp and gemma-4-26b-a4b You'll need to provide the game iso but there is a script that rips all required assets automatically.
2:43

Kept you waiting, huh? 100% local and open source. Powered by Mario Zechner' pi coupled with qwen3 tts, parakeet.cpp and gemma-4-26b-a4b You'll need to provide the game iso but there is a script that rips all required assets automatically.

Tommy Falkowski

16,920 görüntüleme • 15 gün önce

You can now chat locally with AI and your PDFs completely offline. Blueshell runs in your browser and doesn't communicate with any server. No installation and open source. Here's how to access it:
0:35

You can now chat locally with AI and your PDFs completely offline. Blueshell runs in your browser and doesn't communicate with any server. No installation and open source. Here's how to access it:

Paul Couvert

42,331 görüntüleme • 1 yıl önce

A completely local agent that lives right inside your pocket. 📱 Watch Gemma 4 run 100% locally in the Google AI Edge Gallery app. It converts images into JSON schemas, transcribes audio, and uses agent skills to interact with apps, all entirely offline.
3:20

A completely local agent that lives right inside your pocket. 📱 Watch Gemma 4 run 100% locally in the Google AI Edge Gallery app. It converts images into JSON schemas, transcribes audio, and uses agent skills to interact with apps, all entirely offline.

Google Gemma

87,837 görüntüleme • 27 gün önce

New Google Gemma 4 12B claims near-26B performance - we tested both! We ran both models locally on one RTX 4090 and gave each the same task: write a self-contained HTML5 canvas animation with real physics in one file without libraries. Three scenes - a Galton board, two blocks colliding off a wall, and a chaotic triple pendulum Outputs: Gemma 4 26B-A4B: 15 GB VRAM usage, 6.9k tokens, 138 tok/s Gemma 4 12B: 9 GB VRAM usage, 8.9k tokens, 80 tok/s Same Gemma 4 family, but the 26B-A4B won every scene and ran ~1.7x faster - on just 4B active params. The 12B stayed very close though, on almost half the VRAM - which makes it the ideal model for a 16 GB laptop
0:36

New Google Gemma 4 12B claims near-26B performance - we tested both! We ran both models locally on one RTX 4090 and gave each the same task: write a self-contained HTML5 canvas animation with real physics in one file without libraries. Three scenes - a Galton board, two blocks colliding off a wall, and a chaotic triple pendulum Outputs: Gemma 4 26B-A4B: 15 GB VRAM usage, 6.9k tokens, 138 tok/s Gemma 4 12B: 9 GB VRAM usage, 8.9k tokens, 80 tok/s Same Gemma 4 family, but the 26B-A4B won every scene and ran ~1.7x faster - on just 4B active params. The 12B stayed very close though, on almost half the VRAM - which makes it the ideal model for a 16 GB laptop

atomic.chat

151,312 görüntüleme • 22 gün önce

Friendly reminder that Google has an official app to run Gemma 4 on your phone. - 100% open source - Fully offline and private - Multimodal with text/audio/image - Works with Gemma E4B and E2B And the app is available on both iOS and Android. Steps and download below
0:36

Friendly reminder that Google has an official app to run Gemma 4 on your phone. - 100% open source - Fully offline and private - Multimodal with text/audio/image - Works with Gemma E4B and E2B And the app is available on both iOS and Android. Steps and download below

Paul Couvert

724,656 görüntüleme • 2 ay önce

Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:
7:54

Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:

Venice

26,668 görüntüleme • 8 gün önce

This actually makes Gemma 4 26B-4A usable for a coding agent @ 72tk/s on my MacBook Pro M1 Max. This video is realtime, running completely locally.
0:57

This actually makes Gemma 4 26B-4A usable for a coding agent @ 72tk/s on my MacBook Pro M1 Max. This video is realtime, running completely locally.

Kyle Howells

117,577 görüntüleme • 13 gün önce

Google's new Gemma 4 is excellent, and the 26B MoE version is likely the best model to run on a 32GB Framework Desktop. It's fast, smart, and also great for tool calling if you use it with OpenClaw🦞 or other local agent platforms.
1:03

Google's new Gemma 4 is excellent, and the 26B MoE version is likely the best model to run on a 32GB Framework Desktop. It's fast, smart, and also great for tool calling if you use it with OpenClaw🦞 or other local agent platforms.

Framework

58,593 görüntüleme • 2 ay önce

🚨BREAKING: OpenAI's Codex is now completely FREE to run locally with Ollama. No API costs. No rate limits. 100% private on your machine. You can now use both the Codex App and Codex CLI with powerful open-source models like DeepSeek V4, Gemma 4, and Qwen 3.6. Here's how to set it up in minutes:
0:31

🚨BREAKING: OpenAI's Codex is now completely FREE to run locally with Ollama. No API costs. No rate limits. 100% private on your machine. You can now use both the Codex App and Codex CLI with powerful open-source models like DeepSeek V4, Gemma 4, and Qwen 3.6. Here's how to set it up in minutes:

WorldofAI

803,403 görüntüleme • 27 gün önce

Running Gemma 4 12B locally at 28T/s. Facing issues with vision in LM Studio, but text performance is quite solid. Asked it to create a landing page for a tech event. Video is fast forwarded for the demo.
0:40

Running Gemma 4 12B locally at 28T/s. Facing issues with vision in LM Studio, but text performance is quite solid. Asked it to create a landing page for a tech event. Video is fast forwarded for the demo.

AshutoshShrivastava

15,680 görüntüleme • 22 gün önce

Claude Code is now completely free forever 🤯 Google just dropped Gemma 4 on Ollama, which means you can run Claude Code locally with zero API bills and zero subscriptions. Just install Gemma 4, connect it to Claude Code, and suddenly you have free AI agents running directly on your computer. Google may have just killed AI subscription costs. 🚀
0:28

Claude Code is now completely free forever 🤯 Google just dropped Gemma 4 on Ollama, which means you can run Claude Code locally with zero API bills and zero subscriptions. Just install Gemma 4, connect it to Claude Code, and suddenly you have free AI agents running directly on your computer. Google may have just killed AI subscription costs. 🚀

Julian Goldie SEO

606,043 görüntüleme • 2 ay önce

Unlock local, agentic workflows with Gemma 4 12B and Google AI Edge, directly on your laptop. Experience 100% on-device AI: • Generate code in AI Edge Gallery (new to Mac) • Dictate and edit text via AI Edge Eloquent (new to Mac) • Serve Gemma 4 12B locally with LiteRT-LM Dive in:
1:40

Unlock local, agentic workflows with Gemma 4 12B and Google AI Edge, directly on your laptop. Experience 100% on-device AI: • Generate code in AI Edge Gallery (new to Mac) • Dictate and edit text via AI Edge Eloquent (new to Mac) • Serve Gemma 4 12B locally with LiteRT-LM Dive in:

Google for Developers

138,979 görüntüleme • 22 gün önce

2-bit Gemma 4 12B GGUF, only 4.66 GB on disk, managed to cite 15 sites from a single prompt. Try this locally on >6GB RAM via Unsloth Studio. GitHub:
0:48

2-bit Gemma 4 12B GGUF, only 4.66 GB on disk, managed to cite 15 sites from a single prompt. Try this locally on >6GB RAM via Unsloth Studio. GitHub:

Unsloth AI

142,139 görüntüleme • 21 gün önce

Gemma 4 26B plus Hermes Agent, fully autonomous on 8GB VRAM. llama.cpp integration took 2 minutes. Writes code, manages GitHub, browses the web, connects to Notion and Obsidian. All offline, all local, 24/7.
0:20

Gemma 4 26B plus Hermes Agent, fully autonomous on 8GB VRAM. llama.cpp integration took 2 minutes. Writes code, manages GitHub, browses the web, connects to Notion and Obsidian. All offline, all local, 24/7.

0xMarioNawfal

146,363 görüntüleme • 4 gün önce

I just made a full walkthrough on how to build an AI quiz funnel that qualifies leads, collects data, and recommends offers (automatically) most people use chatbots as an interactive FAQ replacement but you can also use them to ask questions and guide users to a buying decision in the form of a quiz funnel reply “quiz” and I’ll send you a full walkthrough on how to build it (must be following)
0:21

I just made a full walkthrough on how to build an AI quiz funnel that qualifies leads, collects data, and recommends offers (automatically) most people use chatbots as an interactive FAQ replacement but you can also use them to ask questions and guide users to a buying decision in the form of a quiz funnel reply “quiz” and I’ll send you a full walkthrough on how to build it (must be following)

Tyler

25,217 görüntüleme • 1 yıl önce

DeepSeek has just released a powerful new 8B model 🔥 This means you can run it locally and for free on a laptop with zero limitations. You just need LM Studio and 4Gb of RAM. The few quick steps below:
0:24

DeepSeek has just released a powerful new 8B model 🔥 This means you can run it locally and for free on a laptop with zero limitations. You just need LM Studio and 4Gb of RAM. The few quick steps below:

Paul Couvert

370,707 görüntüleme • 1 yıl önce