Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Wow. This was impossible days ago. Open Interpreter v0.1.2— released this morning— can setup most HuggingFace models for offline use with one command. It's local, private, and free. $ pip install --upgrade open-interpreter $ interpreter --model tiiuae/falcon-180B

hellokillian's profile picture

killian

32,196 subscribers

1,046,647 görüntüleme • 3 yıl önce •via X (Twitter)

SanatBilim & TeknolojiEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

10 Yorum

Pietro Schirano profil fotoğrafı
Pietro Schirano3 yıl önce

WHAT

Sven Jasper profil fotoğrafı
Sven Jasper3 yıl önce

@readwise save thread

Tony Silva profil fotoğrafı
Tony Silva3 yıl önce

am I able to run flacon-180b on a MacBook Pro M2?

Vinod Varma profil fotoğrafı
Vinod Varma3 yıl önce

Do you see an API coming for this in future with the capability to setup sandbox python environment like CodeInterpreter API ?

hh2gk profil fotoğrafı
hh2gk3 yıl önce

Wow - Truly amazing work!

Thunderhead profil fotoğrafı
Thunderhead3 yıl önce

Woah 👀

AIadvocate profil fotoğrafı
AIadvocate3 yıl önce

Incredible work, would be awesome to mashup with with #gpt4all 👀

killian profil fotoğrafı
killian3 yıl önce

talked to andriy at @nomic_ai day before yesterday :)

Frank Martinez profil fotoğrafı
Frank Martinez3 yıl önce

Raspberry Pi 4B?

Steve Metcalf profil fotoğrafı
Steve Metcalf3 yıl önce

Dang! It’s like having a kid and it learns new tricks that impress its parents!

Benzer Videolar

Open Interpreter's new release looks great for locally running LLMs The tool lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing. Just do `pip install open-interpreter` and then just run `- interpreter --local` sets up fast, local LLMs. Congrats killian 👏
1:23

Open Interpreter's new release looks great for locally running LLMs The tool lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing. Just do `pip install open-interpreter` and then just run `- interpreter --local` sets up fast, local LLMs. Congrats killian 👏

Rohan Paul

154,697 görüntüleme • 2 yıl önce

Open Interpreter’s Local III is out today. We are building computer-controlling agents that work offline. This is our biggest step forward. - interpreter --local sets up fast, local LLMs. - We are hosting a free inference endpoint. - We are training our own model. ⬤
1:23

Open Interpreter’s Local III is out today. We are building computer-controlling agents that work offline. This is our biggest step forward. - interpreter --local sets up fast, local LLMs. - We are hosting a free inference endpoint. - We are training our own model. ⬤

killian

166,860 görüntüleme • 2 yıl önce

Built an open-source Jupyter Notebook that brings the power of OpenAI's code interpreter into your local Python development environment. Watch how easy it is to use Thread to edit code I wrote, chat with my notebook, or generate charts just using prompts. We built Thread using Next.js, Chakra and Project Jupyter and you can install it by running: pip install thread-dev
0:22

Built an open-source Jupyter Notebook that brings the power of OpenAI's code interpreter into your local Python development environment. Watch how easy it is to use Thread to edit code I wrote, chat with my notebook, or generate charts just using prompts. We built Thread using Next.js, Chakra and Project Jupyter and you can install it by running: pip install thread-dev

Ali Shobeiri

112,687 görüntüleme • 2 yıl önce

Claude 3.5 Sonnet V2 + Code Interpreter is now available in VSCode, and it's amazing! 🤩 Install the CodeGPT extension in VSCode, and you’ll find this incredible model in the "LLM" tab, released TODAY! 😱 When you pair it with tools like Code Interpreter or Code Builder from CodeGPT, the results are simply outstanding! Congrats to Alex Albert and the entire Anthropic team! 👏
0:27

Claude 3.5 Sonnet V2 + Code Interpreter is now available in VSCode, and it's amazing! 🤩 Install the CodeGPT extension in VSCode, and you’ll find this incredible model in the "LLM" tab, released TODAY! 😱 When you pair it with tools like Code Interpreter or Code Builder from CodeGPT, the results are simply outstanding! Congrats to Alex Albert and the entire Anthropic team! 👏

Daniel San

50,681 görüntüleme • 2 yıl önce

We’re excited to share that we're piloting @ConvoRelay Access for live, free American Sign Language (ASL) interpretation for customer information in select locations. This innovative mobile app connects you with an on-demand ASL interpreter right on your device, so you can chat with an MTA employee about service changes, payment, or anything else about your trip. The pilot program is free to use for all riders—just scan the Convo QR code and you’ll quickly be connected to an interpreter. Learn more about the pilot program and where it’s available:
0:27

We’re excited to share that we're piloting @ConvoRelay Access for live, free American Sign Language (ASL) interpretation for customer information in select locations. This innovative mobile app connects you with an on-demand ASL interpreter right on your device, so you can chat with an MTA employee about service changes, payment, or anything else about your trip. The pilot program is free to use for all riders—just scan the Convo QR code and you’ll quickly be connected to an interpreter. Learn more about the pilot program and where it’s available:

MTA

11,747 görüntüleme • 1 yıl önce

We built Openwork! This time with OpenCode + Composio This agent can now: - use opencode zen models like Big Pickle, GLM 4.7, MiniMax - access local files and your terminal via opencode - chain actions across local files and cloud apps in one flow completely free and open source:
0:52

We built Openwork! This time with OpenCode + Composio This agent can now: - use opencode zen models like Big Pickle, GLM 4.7, MiniMax - access local files and your terminal via opencode - chain actions across local files and cloud apps in one flow completely free and open source:

Karan Vaidya

62,689 görüntüleme • 8 ay önce

This Igbo guy was named Fẹ́mi by Yoruba people. He speaks three Yoruba dialects like a native: Ọwọ, Akure and Ibadan. His command of Yoruba proverbs will wow you. He grew up as an interpreter for different Yoruba communities who don't understand each others dialect in rural communities in Ondo, the most dialetically diverse State in South Western Nigeria.
6:09

This Igbo guy was named Fẹ́mi by Yoruba people. He speaks three Yoruba dialects like a native: Ọwọ, Akure and Ibadan. His command of Yoruba proverbs will wow you. He grew up as an interpreter for different Yoruba communities who don't understand each others dialect in rural communities in Ondo, the most dialetically diverse State in South Western Nigeria.

Polyglot adedeji Odulesi

12,194 görüntüleme • 11 ay önce

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

240,611 görüntüleme • 8 ay önce

i soft launched EveAgents it's an open-source registry of agents based on the Vercel framework that you can use for integrations like Slack, Discord, GitHub etc use this command to list them all: > npx @bergside/eveagents list and install using: > npx @bergside/eveagents install seo-growth-analyst the agents aren't super wow right now, but it's a start and we can all make them better by contributing to the GitHub repo which is MIT licensed: thank you
0:42

i soft launched EveAgents it's an open-source registry of agents based on the Vercel framework that you can use for integrations like Slack, Discord, GitHub etc use this command to list them all: > npx @bergside/eveagents list and install using: > npx @bergside/eveagents install seo-growth-analyst the agents aren't super wow right now, but it's a start and we can all make them better by contributing to the GitHub repo which is MIT licensed: thank you

Zoltán Szőgyényi

13,790 görüntüleme • 2 ay önce

Introducing Magnitude: your actually local agent 100% private and offline. No token costs, no API keys. Open source. Today's agents are local. The model isn't. Every prompt, every file, every secret gets sent straight to Anthropic and OpenAI. Magnitude is built around local models and runs the whole stack itself. The inference engine is part of the agent, so the models run inside it, right on your computer. It lives in your terminal, and setup is one command. Magnitude profiles your hardware and shows you which models fit, with the trade-offs between quality, speed, and memory. Pick one and start working. No painful config or server to babysit. Out of the box, it can use your shell, edit files, and run scripts. Add skills and it can work with Excel, PowerPoint, PDFs or Chrome. Use it for everyday work: - Analyze sensitive data - Manage private notes - Review code and logs - Search and organize files - Build docs or slides npm i -g @magnitudedev/cli GitHub:
0:35

Introducing Magnitude: your actually local agent 100% private and offline. No token costs, no API keys. Open source. Today's agents are local. The model isn't. Every prompt, every file, every secret gets sent straight to Anthropic and OpenAI. Magnitude is built around local models and runs the whole stack itself. The inference engine is part of the agent, so the models run inside it, right on your computer. It lives in your terminal, and setup is one command. Magnitude profiles your hardware and shows you which models fit, with the trade-offs between quality, speed, and memory. Pick one and start working. No painful config or server to babysit. Out of the box, it can use your shell, edit files, and run scripts. Add skills and it can work with Excel, PowerPoint, PDFs or Chrome. Use it for everyday work: - Analyze sensitive data - Manage private notes - Review code and logs - Search and organize files - Build docs or slides npm i -g @magnitudedev/cli GitHub:

Tom Greenwald

397,807 görüntüleme • 2 ay önce

Stop paying for “knowledge base” tools. Build your own NotebookLM clone locally for free. Here’s the setup flow → → Install Docker (one time). → Install Ollama. → Pull Gemma 3 1B for the chat model. → Add mxbai-embed-large for embeddings (semantic search). → Run Open NotebookLM via Docker. → Select Chat Model + Tools Model or it won’t work. Save this video, you’ll build your private research hub in 10 minutes. Want the SOP? DM me. 💬
9:41

Stop paying for “knowledge base” tools. Build your own NotebookLM clone locally for free. Here’s the setup flow → → Install Docker (one time). → Install Ollama. → Pull Gemma 3 1B for the chat model. → Add mxbai-embed-large for embeddings (semantic search). → Run Open NotebookLM via Docker. → Select Chat Model + Tools Model or it won’t work. Save this video, you’ll build your private research hub in 10 minutes. Want the SOP? DM me. 💬

Julian Goldie SEO

40,659 görüntüleme • 9 ay önce

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below
16:10

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

Paul Couvert

41,356 görüntüleme • 7 ay önce

OpenAI has finally released GPT OSS 20B!! This is probably the most powerful model you can run locally on a laptop. → Only 3.6B active parameters → Adjustable "Reasoning Effort" → Works with 16GB of RAM! Quick steps to use it 100% free and offline:
0:29

OpenAI has finally released GPT OSS 20B!! This is probably the most powerful model you can run locally on a laptop. → Only 3.6B active parameters → Adjustable "Reasoning Effort" → Works with 16GB of RAM! Quick steps to use it 100% free and offline:

Paul Couvert

595,738 görüntüleme • 1 yıl önce

Truly unbelievable GLM 5.2 just released and it's an open weights model you can run locally The insane part is, it's just as good as Opus 4.8 Unlimited, free super intelligence running on your desk In this video I cover how it works, and how to set up your first local model:
18:30

Truly unbelievable GLM 5.2 just released and it's an open weights model you can run locally The insane part is, it's just as good as Opus 4.8 Unlimited, free super intelligence running on your desk In this video I cover how it works, and how to set up your first local model:

Alex Finn

125,033 görüntüleme • 3 ay önce

Introducing Docker 🐳 AI Models for local + private LLMs in VSCode 🤩 You can now use Docker as a local model provider in VSCode, JetBrains, Cursor, and soon Visual Studio Enterprise. With Docker Model Runner (v4.40+), run AI models locally on your machine... no data sharing, no cloud dependency 👏 Just update Docker, open CodeGPT, select the model, click "Download", and enjoy 👉 Here’s how to update Docker:
1:01

Introducing Docker 🐳 AI Models for local + private LLMs in VSCode 🤩 You can now use Docker as a local model provider in VSCode, JetBrains, Cursor, and soon Visual Studio Enterprise. With Docker Model Runner (v4.40+), run AI models locally on your machine... no data sharing, no cloud dependency 👏 Just update Docker, open CodeGPT, select the model, click "Download", and enjoy 👉 Here’s how to update Docker:

Daniel San

65,228 görüntüleme • 1 yıl önce

THIS FREE OPEN-SOURCE REPO GIVES YOU A SELF-HOSTED PERSONAL AI AGENT WITH MEMORY, WEB SEARCH, SUBAGENTS AND SCHEDULED AUTOMATIONS. NANOBOT RUNS WITH YOUR OWN API OR LOCAL MODEL AND CAN EVEN USE YOUR TERMINAL TO GET REAL WORK DONE.
0:37

THIS FREE OPEN-SOURCE REPO GIVES YOU A SELF-HOSTED PERSONAL AI AGENT WITH MEMORY, WEB SEARCH, SUBAGENTS AND SCHEDULED AUTOMATIONS. NANOBOT RUNS WITH YOUR OWN API OR LOCAL MODEL AND CAN EVEN USE YOUR TERMINAL TO GET REAL WORK DONE.

0xMarioNawfal

42,564 görüntüleme • 1 ay önce

🚨 DeepSeek V4.1 just launched, and here’s how to use DeepSeek models for completely FREE. no subscription. no API credits. no card required. 1️⃣ open up VS Code 2️⃣ go to Extensions, search for Cline, then install the extension if you don’t already have it. 3️⃣ open Cline, click Models, then select DeepSeek Flash as your model. 4️⃣ start a new chat and begin prompting directly inside VS Code. that’s it. you can now use DeepSeek for coding, debugging, refactoring, and building projects without paying for an API. bookmark this for later.
0:53

🚨 DeepSeek V4.1 just launched, and here’s how to use DeepSeek models for completely FREE. no subscription. no API credits. no card required. 1️⃣ open up VS Code 2️⃣ go to Extensions, search for Cline, then install the extension if you don’t already have it. 3️⃣ open Cline, click Models, then select DeepSeek Flash as your model. 4️⃣ start a new chat and begin prompting directly inside VS Code. that’s it. you can now use DeepSeek for coding, debugging, refactoring, and building projects without paying for an API. bookmark this for later.

m0h

88,335 görüntüleme • 1 ay önce

SOMEONE MADE IT SO YOU CAN CODE WITH 174 AI MODELS FROM 23 PROVIDERS FOR FREE one npm package and one install: "npm i -g free-coding-models" switch between any model instantly. benchmark them against each other in real time to see which one actually codes best for your use case. no subscriptions. no API keys. no cost. 174 models. 23 providers, all free, all from your terminal. if you're tired of paying for 3 different AI subscriptions just to compare which model codes better, this is it
2:55

SOMEONE MADE IT SO YOU CAN CODE WITH 174 AI MODELS FROM 23 PROVIDERS FOR FREE one npm package and one install: "npm i -g free-coding-models" switch between any model instantly. benchmark them against each other in real time to see which one actually codes best for your use case. no subscriptions. no API keys. no cost. 174 models. 23 providers, all free, all from your terminal. if you're tired of paying for 3 different AI subscriptions just to compare which model codes better, this is it

Om Patel

93,660 görüntüleme • 6 ay önce

With this release, users can opt for the ideal combination of intelligence, speed, and cost to suit their use case. Opus, our most intelligent model, achieves near-human comprehension capabilities. It can deftly handle open-ended prompts and tackle complex tasks.
3:59

With this release, users can opt for the ideal combination of intelligence, speed, and cost to suit their use case. Opus, our most intelligent model, achieves near-human comprehension capabilities. It can deftly handle open-ended prompts and tackle complex tasks.

Anthropic

179,549 görüntüleme • 2 yıl önce

🧠 Chat with Reasoning A few days ago the DeepSeek team released a LLM model with reasoning in various sizes. This we show is an example of 1bl that can run on machines with low GPU power like a mobile, but have enough power to answer complex questions. With these advanced models it is possible to link it with #IoT equipment to control information and use it in advanced control environments. All this under Open Source models and decentralized networks such as #Neurai #XNA $XNA #DeepSeek #Reasoning #AIchat
0:20

🧠 Chat with Reasoning A few days ago the DeepSeek team released a LLM model with reasoning in various sizes. This we show is an example of 1bl that can run on machines with low GPU power like a mobile, but have enough power to answer complex questions. With these advanced models it is possible to link it with #IoT equipment to control information and use it in advanced control environments. All this under Open Source models and decentralized networks such as #Neurai #XNA $XNA #DeepSeek #Reasoning #AIchat

NeurAI Project / XNA

17,691 görüntüleme • 1 yıl önce