Загрузка видео...

Не удалось загрузить видео

На главную

OpenClaude from GitLawb running through Atomic Chat's local model MacBook Air M4 16GB RAM - blazing fast No API key. No cloud. Fully open-source

atomic_chat_hq's profile picture

atomic.chat

11,969 subscribers

82,775 просмотров • 4 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Running OpenClaw with Gemma 4🦞 Free Open Source Local Model Device: MacBook Air M4 16Gb
0:34

Running OpenClaw with Gemma 4🦞 Free Open Source Local Model Device: MacBook Air M4 16Gb

atomicbot.ai

410,034 просмотров • 4 месяцев назад

Run OpenClaw with Gemma 4 and Atomic Chat MacBook Air M4 · 16 GB RAM · 25 tok/s No cloud! No subscription fees! Open-source local model. Runs on your regular device
0:47

Run OpenClaw with Gemma 4 and Atomic Chat MacBook Air M4 · 16 GB RAM · 25 tok/s No cloud! No subscription fees! Open-source local model. Runs on your regular device

atomic.chat

313,459 просмотров • 4 месяцев назад

Running Hermes agent Locally with Gemma4 Device: Macbook Air CPU: M4 RAM: 16GB Open Source. Free. Private. With TurboQuant cache in @Atomic_Chat_HQ app
1:09

Running Hermes agent Locally with Gemma4 Device: Macbook Air CPU: M4 RAM: 16GB Open Source. Free. Private. With TurboQuant cache in @Atomic_Chat_HQ app

atomic.chat

295,169 просмотров • 4 месяцев назад

OpenClaw + Gemma 4 rodando local num MacBook Air M4 16GB Free. Open-source. Local. Sem API, sem assinatura, sem mandar seus dados pra ninguem 426 likes em horas. A comunidade ta entendendo que o stack local ja e viavel pra uso real Gemma 4 e o primeiro modelo open-source do Google que compete de verdade com os closed. Agora junta com OpenClaw e voce tem um agente completo rodando no seu laptop O melhor: com PolarQuant comprime ainda mais e cabe em maquinas menores
0:34

OpenClaw + Gemma 4 rodando local num MacBook Air M4 16GB Free. Open-source. Local. Sem API, sem assinatura, sem mandar seus dados pra ninguem 426 likes em horas. A comunidade ta entendendo que o stack local ja e viavel pra uso real Gemma 4 e o primeiro modelo open-source do Google que compete de verdade com os closed. Agora junta com OpenClaw e voce tem um agente completo rodando no seu laptop O melhor: com PolarQuant comprime ainda mais e cabe em maquinas menores

CV.YH

116,216 просмотров • 4 месяцев назад

I ran a 35-billion parameter AI agent on a $600 Mac mini. Specs: M4 Mac-Mini 16GB RAM The model doesn't fit in RAM. It pages from the SSD at 30 tokens/second. On NVIDIA, the same paging gives you 1.6 tok/s. Apple Silicon gives you 30. That's 18.6x faster. No cloud. No API keys. $0/month. Here's what it can do 🧵
1:39

I ran a 35-billion parameter AI agent on a $600 Mac mini. Specs: M4 Mac-Mini 16GB RAM The model doesn't fit in RAM. It pages from the SSD at 30 tokens/second. On NVIDIA, the same paging gives you 1.6 tok/s. Apple Silicon gives you 30. That's 18.6x faster. No cloud. No API keys. $0/month. Here's what it can do 🧵

thestreamingdev()

729,210 просмотров • 4 месяцев назад

Run KiloCode on open models powered by Atomic Chat Kilo is trusted by 3M+ developers. Code, debug, and build entirely on your device — no cloud, fully private, free and open-source with atomic.chat local AI provider
0:44

Run KiloCode on open models powered by Atomic Chat Kilo is trusted by 3M+ developers. Code, debug, and build entirely on your device — no cloud, fully private, free and open-source with atomic.chat local AI provider

atomic.chat

11,990 просмотров • 1 месяц назад

I got a fully maxed out MacBook, mostly so I can run local models fast. And omg here is mixtral running on ollama... almost cannot believe how fast it is. This is with no internet!! A model that beats GPT-3.5 running locally! What!
0:20

I got a fully maxed out MacBook, mostly so I can run local models fast. And omg here is mixtral running on ollama... almost cannot believe how fast it is. This is with no internet!! A model that beats GPT-3.5 running locally! What!

Charlie Holtz

196,086 просмотров • 2 лет назад

🚨 Claude Code just got REPLACED overnight… for $0 An open-source project is now running a 122B model locally on your MacBook 🤯 No API fees. No cloud. No limits. Just raw power on your own machine. 1 command install. Double-click to launch. If this works at scale… it’s game over for paid AI tools. GitHub ↓
0:34

🚨 Claude Code just got REPLACED overnight… for $0 An open-source project is now running a 122B model locally on your MacBook 🤯 No API fees. No cloud. No limits. Just raw power on your own machine. 1 command install. Double-click to launch. If this works at scale… it’s game over for paid AI tools. GitHub ↓

Shruti Codes

40,749 просмотров • 3 месяцев назад

☁️ Introducing the Helicone AI Gateway, *now on the cloud* Pass-through billing. Bring your own key. 1 API 100+ models 0% markup 99% uptime And yes, it’s fully open source. Here’s how it works 👇
0:33

☁️ Introducing the Helicone AI Gateway, *now on the cloud* Pass-through billing. Bring your own key. 1 API 100+ models 0% markup 99% uptime And yes, it’s fully open source. Here’s how it works 👇

Justin Torre

35,228 просмотров • 11 месяцев назад

Stop paying for Claude Code. You can run it for FREE. No API tokens. No monthly plan. No cloud costs. Here’s the simple setup: 1. Download Ollama (free). 2. Install a local model like GLM 4.7 Flash. 3. Launch Claude Code using that local model. 4. Done. You’re now running Claude Code fully powered by a local model. Same interface. No API bill. You can even run OpenClaw the same way. Local AI agents. Free. 24/7. Most people are overpaying because they don’t know this exists.
8:15

Stop paying for Claude Code. You can run it for FREE. No API tokens. No monthly plan. No cloud costs. Here’s the simple setup: 1. Download Ollama (free). 2. Install a local model like GLM 4.7 Flash. 3. Launch Claude Code using that local model. 4. Done. You’re now running Claude Code fully powered by a local model. Same interface. No API bill. You can even run OpenClaw the same way. Local AI agents. Free. 24/7. Most people are overpaying because they don’t know this exists.

Julian Goldie SEO

103,844 просмотров • 5 месяцев назад

Qwen 3.6 35B running at over 100 tokens per second on my $5,399 MacBook Pro M5 Max. This is the best local AI model I have ever run. 128GB of unified memory. No cloud. No API costs. No rate limits. Just raw local inference at speeds I didn't think were possible on a laptop. This model is more intelligent than GPT 5 on benchmarks. Running locally. On a MacBook. For free after the hardware cost. I said local AI would never compete with frontier. I'm starting to rethink that. The gap is closing faster than anyone expected.
1:04

Qwen 3.6 35B running at over 100 tokens per second on my $5,399 MacBook Pro M5 Max. This is the best local AI model I have ever run. 128GB of unified memory. No cloud. No API costs. No rate limits. Just raw local inference at speeds I didn't think were possible on a laptop. This model is more intelligent than GPT 5 on benchmarks. Running locally. On a MacBook. For free after the hardware cost. I said local AI would never compete with frontier. I'm starting to rethink that. The gap is closing faster than anyone expected.

BridgeMind

62,800 просмотров • 2 месяцев назад

We deployed a fully private AI agent on NuNet in under 5 minutes 🚀 OpenClaw🦞 running Qwen through ollama , one of the hottest open source model families right now, entirely on decentralized compute. No cloud. No API keys. No data leaving the machine. This is what private AI looks like when you actually build it instead of just talking about it. Your model. Your hardware. Your rules. Full walkthrough showing exactly how it works: What should we deploy next?
12:59

We deployed a fully private AI agent on NuNet in under 5 minutes 🚀 OpenClaw🦞 running Qwen through ollama , one of the hottest open source model families right now, entirely on decentralized compute. No cloud. No API keys. No data leaving the machine. This is what private AI looks like when you actually build it instead of just talking about it. Your model. Your hardware. Your rules. Full walkthrough showing exactly how it works: What should we deploy next?

NuNet 🌐

87,598 просмотров • 4 месяцев назад

Spent Friday night testing Apple ‘s new open-source ml-lito image-to-3D model running locally on Apple Silicon via Metal. No cloud, API, or uploads. Getting it working was harder than expected but got there. 👇👇👇AppleEDU
0:28

Spent Friday night testing Apple ‘s new open-source ml-lito image-to-3D model running locally on Apple Silicon via Metal. No cloud, API, or uploads. Getting it working was harder than expected but got there. 👇👇👇AppleEDU

Paul Hamilton

45,469 просмотров • 2 месяцев назад

Run Cline on Local AI models with Atomic Chat! Cline is a coding agent trusted by 8M+ developers. Write, refactor, ship code securely on your own hardware with local models powered by atomic.chat — no cloud, private, free and open-source
0:36

Run Cline on Local AI models with Atomic Chat! Cline is a coding agent trusted by 8M+ developers. Write, refactor, ship code securely on your own hardware with local models powered by atomic.chat — no cloud, private, free and open-source

atomic.chat

43,940 просмотров • 1 месяц назад

The cloud has failed us. Again. 16 billion passwords just leaked. It’s time to ditch the cloud. That’s why we’ve been building PearPass — coming soon. A fully local, open-source password manager. No cloud. No servers. No leaks. Ever. Just you — and your keys, stored securely on your devices.
0:25

The cloud has failed us. Again. 16 billion passwords just leaked. It’s time to ditch the cloud. That’s why we’ve been building PearPass — coming soon. A fully local, open-source password manager. No cloud. No servers. No leaks. Ever. Just you — and your keys, stored securely on your devices.

Paolo Ardoino 🤖

164,979 просмотров • 1 год назад

Local transcription running on iPad Pro M1 🔥 Qwen3-ASR-0.6B from Qwen — fully on-device, no cloud, no API calls. Built with our new MLX-Audio-Swift SDK, hitting 25 tok/s at just 1.9GB of RAM. Test audio? Found Marc Lou's old sales call from one of his awesome newsletters sitting on my device. Try it out & drop us a ⭐️
0:47

Local transcription running on iPad Pro M1 🔥 Qwen3-ASR-0.6B from Qwen — fully on-device, no cloud, no API calls. Built with our new MLX-Audio-Swift SDK, hitting 25 tok/s at just 1.9GB of RAM. Test audio? Found Marc Lou's old sales call from one of his awesome newsletters sitting on my device. Try it out & drop us a ⭐️

Prince Canuma

81,427 просмотров • 6 месяцев назад

OSINT + AI 🧠 Vyntral's God’s Eye integrates local AI via Ollama for vuln analysis and reporting. No cloud. No APIs. Fully private. Free. AI is becoming a default layer in open source tooling, not a premium feature. Try it here:
0:35

OSINT + AI 🧠 Vyntral's God’s Eye integrates local AI via Ollama for vuln analysis and reporting. No cloud. No APIs. Fully private. Free. AI is becoming a default layer in open source tooling, not a premium feature. Try it here:

The OSINT Newsletter

53,194 просмотров • 6 месяцев назад

Kimmy K2.5 just launched a local cloud model. And it runs Open Claw for FREE forever. No API costs. No token limits. No subscriptions. Here's the setup 👇 → Download Ollama at → Install Kimmy K2.5 cloud model. → Launch Open Claw with one command. → Runs locally but uses cloud processing. → Zero laptop slowdown. → Works on older machines perfectly. I just set it up in under 2 minutes. Zero configuration. Zero technical skills. Want the commands? DM me.
18:16

Kimmy K2.5 just launched a local cloud model. And it runs Open Claw for FREE forever. No API costs. No token limits. No subscriptions. Here's the setup 👇 → Download Ollama at → Install Kimmy K2.5 cloud model. → Launch Open Claw with one command. → Runs locally but uses cloud processing. → Zero laptop slowdown. → Works on older machines perfectly. I just set it up in under 2 minutes. Zero configuration. Zero technical skills. Want the commands? DM me.

Julian Goldie SEO

240,198 просмотров • 6 месяцев назад

Introducing local Reachy Mini conversations: free chats forever! So fast that we had to hardcode delays to stop it from interrupting you mid-sentence. We built an open-source Realtime API powered by llama.cpp: Parakeet -> Gemma 4 E4B -> Qwen3TTS Run it anywhere you run local LMs. Video shows DGX Spark and a 36GB M3 Pro MacBook. Blog:
0:59

Introducing local Reachy Mini conversations: free chats forever! So fast that we had to hardcode delays to stop it from interrupting you mid-sentence. We built an open-source Realtime API powered by llama.cpp: Parakeet -> Gemma 4 E4B -> Qwen3TTS Run it anywhere you run local LMs. Video shows DGX Spark and a 36GB M3 Pro MacBook. Blog:

Andi Marafioti

76,922 просмотров • 2 месяцев назад

IF YOU HAVE BEEN HOLDING OFF ON HERMES AGENT BECAUSE OF API COSTS, READ THIS FIRST. Four real ways to run it for free. Local, through Ollama, complete privacy and no rate limits. Cloud, through free tiers from Groq, OpenRouter, or NVIDIA NIM, no card required. A subscription you already have, GitHub Copilot connects natively. A fallback configuration so a rate limit on one provider does not stop your whole session. Hermes Agent is free and open source. Now there is no excuse on the model side either. Bookmark this. Follow CyrilXBT
10:45

IF YOU HAVE BEEN HOLDING OFF ON HERMES AGENT BECAUSE OF API COSTS, READ THIS FIRST. Four real ways to run it for free. Local, through Ollama, complete privacy and no rate limits. Cloud, through free tiers from Groq, OpenRouter, or NVIDIA NIM, no card required. A subscription you already have, GitHub Copilot connects natively. A fallback configuration so a rate limit on one provider does not stop your whole session. Hermes Agent is free and open source. Now there is no excuse on the model side either. Bookmark this. Follow CyrilXBT

CyrilXBT

28,802 просмотров • 1 месяц назад