Khác
Discover how Deepseek-R1 is reshaping the AI coding landscape! This open-source marvel challenges the dominance of O1 and Sonnet 3.5, offering unmatched performance, flexibility, and affordability. Whether you're a developer or an enthusiast, this video will guide you through everything from accessing Deepseek-R1 for free to setting it up as a coding assistant with Roo-Cline.
Deepseek-R1 is more than just an open-source coding tool; it's a game-changer. From its cost-efficiency to its performance benchmarks, this video covers it all.
🔗 Timestamps:
00:00 - Introduction to Deepseek R1
00:42 - How to Access Deepseek R1 for Free
01:00 - Deepseek R1 APIs
01:33 - Benchmark Results: Deepseek R1 vs. O1 & Sonnet 3.5
02:55 - Setting Up Deepseek R1 as a Coding Assistant with Roo-Cline
03:38 - First Coding Test with Deepseek R1
05:49 - Pricing Comparison: Deepseek R1 vs. Sonnet 3.5
06:55 - Running Deepseek R1 Locally
08:00 - UI Coding with Deepseek R1
10:16 - Slow Response Times? Let’s Test!
11:17 - Results of UI Coding with Deepseek R1
11:31 - Deepseek R1’s Innovative "Ask Mode"
13:40 - System Requirements for Deepseek R1
14:00 - Deepseek R1 and the Open-Source Revolution
14:45 - Pricing Showdown: OpenAI O1 vs. Deepseek R1
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Exploring VectorShift & DeepSeek v3: Ultimate Guide to No-Code AI Automation
In this episode, we test out DeepSeek version 3 and explore the potential of creating AI agents on the VectorShift platform. This no-code AI automation tool offers a variety of features, including Google API integration, custom chatbot creation, blog article generation, and much more. We'll walk you through the setup process, showcase various templates, and explain how to deploy your automation workflows. Additionally, learn about using AI for tasks like SEO keyword research, email automation, and competitive analysis. Discover how you can utilize these tools to save time and boost productivity.
00:00 Introduction to Deep Seek Version Three
00:40 Setting Up VectorShift and DeepSeek API
01:14 Creating Workflows and Pipelines
02:14 Exploring VectorShift Features
04:55 Deploying and Testing Automations
06:38 Advanced Customization and Use Cases
10:33 Conclusion and Additional Resources
Timestamps:
00:00 - Intro
00:59 - Pre-Reqs
01:31 - Getting Started
04:03 - Loading DeepSeek
07:16 - First Test
10:23 - Python Test
13:19 - Llama3-1B Comparison
15:16 - FP16 DeepSeek
19:53 - Closing Thoughts
Explore the power of the DeepSeek R1 family of models running locally on the NVIDIA Jetson Nano! In this video, we dive into the newly released distilled DeepSeek models and demonstrate how to set them up with Open WebUI on the Jetson Nano. Despite its compact size, the DeepSeek R1 1.5B model delivers impressive performance with plenty of room to spare on the Jetson.
We’ll guide you through the installation process, followed by a series of tests, including a Python reasoning test. To provide context, we compare the DeepSeek R1 to the Mini Llama 3.1 1B model, showcasing their differences in performance and capabilities. For those seeking even more power, we also demonstrate how to set up and test the FP16 version of the DeepSeek R1 Distilled 1.5B Qwen model, running seamlessly in WebUI with an Ollama backend.
By the end of this video, you’ll have the knowledge and tools to set up and test a powerful yet efficient local reasoning model on your Jetson Nano.
In this video, I explore the fascinating competition between China’s DeepSeek R1 and OpenAI’s ChatGPT 01. Through live demos, I compare their thinking models, performance in math and logic, and their handling of complex challenges like Sudoku. DeepSeek shows promise with its open-source capabilities, but how does it truly stack up? Watch to find out!
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Chapters
00:00:00 🚀 Introduction: Overview of DeepSeek R1 and ChatGPT 01
00:00:08 🔍 Key Features of DeepSeek: Free, open-source, and cheaper than ChatGPT
00:00:40 🧠 Unique Advantage: DeepSeek’s ability to show thinking steps
00:02:00 🌏 Language Model Challenges: Mandarin-built AI working in English
00:03:35 ✅ DeepSeek vs. ChatGPT in Sentence Logic: Testing sentence-building prompts
00:07:10 🏆 Round 1 Results: DeepSeek outperforms ChatGPT in sentence accuracy
00:09:00 🧩 Sudoku Challenge: Comparing AI models on logic-heavy tasks
00:14:00 🔥 DeepSeek's Thinking in Action: Watching its step-by-step reasoning
00:18:15 🤔 Why AI Makes Mistakes in Logic: Insights into model limitations
00:21:40 ⚡ Speed and Power Differences: ChatGPT vs. DeepSeek efficiency
00:24:00 🌟 Conclusion: The AI competition heats up
In this video, we'll guide you through the process of installing DeepSeek R1 locally in under 5 minutes.
DeepSeek R1 is a cutting-edge AI model designed to enhance reasoning capabilities in artificial intelligence, offering human-like analysis and step-by-step problem-solving.
You can run it on mac, windows and linux using ollama. All software and models used in this video are open source and free to use.
#DeepSeek #DeepSeek #R1 #DeepSeekR1 #Ollama #AI #LLM #AIDev #AIDeveloper #Agents #MachineLearning
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Deepseek R1 - in depth review of reasoning models and how to tame it
Join my AI builder Club to learn building LLM app in production: https://link.agent.rocks/FHpo4gL
⏱️ Timestamps
0:00 How does reasoning model works
4:23 How to prompt reasoning models
8:15 When to use reasoning models & demo
🔗 Links
- Join AI builder club: https://link.agent.rocks/FHpo4gL
- Prompthub research: https://www.prompthub.us/blog/....prompt-engineering-w
- OpenAI reasoning model course: https://www.deeplearning.ai/sh....ort-courses/reasonin
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My name is Jason Zhou, a product designer who shares interesting AI experiments & products. Email me if you need help building AI apps! ask@ai-jason.com
Here's my first impressions of Deepseek R1. We check out the web interface, as well as running some local models with Ollama.
https://www.deepseek.com/
https://ollama.com/library/deepseek-r1
00:00 Introduction
01:10 First Simple Prompt
01:52 Write a Poem
02:50 Write some Python Code
04:49 Translate English to Spanish
05:18 Summarize an Article
07:28 Write Hello World in Assembler
08:41 Build Hello World app from DeepSeek Code
10:25 Write a short story
11:41 Tell me what to pack for a hike
14:59 Run models locally with Ollama
15:37 Run 70B parameter model - Ollama
17:13 What should I pack - Ollama
17:34 70B Results - Ollama
18:59 Run 32B parameter model - Ollama
19:44 32B Results - Ollama
21:00 Run 1.5B parameter model - Ollama
22:25 Conclusion
DeepSeek has released DeepSeek-R1, an open-source AI model that matches the performance of OpenAI's o1 in reasoning, math, and coding tasks. This model, under an MIT license, allows for free use, modification, and commercialization, significantly reducing costs by using pure reinforcement learning. DeepSeek-R1 has shown competitive or superior results in benchmarks like MMLU, Codeforces, and GPQA. The release has sparked discussions on the implications for AI regulation, the economic impact on proprietary models, and the potential for open-source AI to advance rapidly. It's now integrated into platforms like OpenRouter and available for public evaluation, highlighting its practical applications and community engagement.
---
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🚀 DeepSeek-R1 Engineer: The Ultimate AI Coding Assistant 🌟
Meet DeepSeek-R1 Engineer, an open-source AI coding agent that takes software development to the next level! Powered by the revolutionary DeepSeek R1 model, this app processes conversations to deliver high-quality code generation, real-time file editing, and seamless integrations. Whether you're creating new files, applying diffs, or referencing local files for complex tasks, this tool can handle it all with unmatched precision and reasoning capabilities.
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[Must Watch]:
Cline v3.2 UPDATE: Fully FREE Autonomous AI Coding Agent! (FREE API - Sonnet 3.5, Planning Agent): https://youtu.be/hmtgo5dVm9c?si=oIKjvovRcSQoTB6j
DeepSeek-R1 + Cline: BEST AI Coding Agent! Develop a Full-stack App Without Writing ANY Code!: https://youtu.be/OBc9xheI2dc?si=RJtwwwfn5sTvV-U7
Deepseek-R1 (Tested): BEST LLM EVER That's Opensource? AGI IS HERE! (Beats O1 & 3.5 Sonnet): https://youtu.be/hXA15NkEHNU?si=nevaWM5sKlD11-cF
[Link's Used]:
Github Repo: https://github.com/Doriandarko/deepseek-engineer
Git Download:https://git-scm.com/downloads
VS Code Download: https://code.visualstudio.com/download
Deepseek API: https://platform.deepseek.com/api_keys
🎯 Key Features:
Advanced Code Generation: High-quality outputs tailored to your requests.
Real-Time File Edits: Reads, creates, and applies diffs to files effortlessly.
Command-Line Interface: Intuitive CLI for developers of all levels.
"/add" Command: Add file or folder contents to conversations instantly.
JSON-Driven Outputs: Ensures structured responses and accurate file operations.
Interactive Sessions: Manage coding tasks directly from your terminal.
Open-Source Excellence: Fully accessible and affordable for developers worldwide.
👉 Dive into this powerful coding assistant and experience the game-changing potential of DeepSeek R1!
🎥 Why You Should Watch:
If you’ve seen my previous videos on DeepSeek R1, you already know the model’s exceptional performance in coding, math, and multilingual tasks. DeepSeek Engineer harnesses this power, offering developers an AI tool that can truly do anything you need, from coding to file management.
Tags:
DeepSeek R1, AI coding assistant, open-source AI, AI for developers, DeepSeek Engineer, Python automation, AI coding tools, advanced AI models, real-time file editing, GPT-like assistant, coding agents, AI developer tools, command-line AI, JSON outputs, AI for programming, AI innovations, DeepSeek R1 Engineer
Hashtags:
#DeepSeekR1 #aiassistants #opensourceai #codingtools #aifordevelopers #techinnovation #programmingmadeeasy #aimodel #DeepSeekEngineer #PowerfulAI
Learn The Fundamentals Of Becoming An AI Engineer On Scrimba;
https://scrimba.com/?via=developersdigest
In this video, I dive into the release of DeepSeek R1, the latest open-source reasoning model by DeepSeek. It's a major competitor to OpenAI's O1 series, I'll discuss the model's capabilities, pricing, technical details, and show you how to get started with it. Additionally, I'll compare its performance on coding benchmarks and highlight its permissive MIT license. You'll also learn about the six smaller models released by DeepSeek and how to use the model via their API and within popular IDEs like VS Code. Don't miss out on this exciting development in the world of AI!
Links:
https://github.com/deepseek-ai/DeepSeek-R1
https://chat.deepseek.com/
https://api-docs.deepseek.com/....guides/reasoning_mod
https://huggingface.co/deepseek-ai/DeepSeek-R1
00:00 Introduction to DeepSeek R1 Release
00:14 Model Overview and Technical Details
00:34 Performance Metrics and Comparisons
01:10 Licensing and Open Source Models
01:51 Technical Report Insights
02:56 Using DeepSeek R1: Chat Interface and API
03:46 Pricing and API Specifics
04:58 Setting Up DeepSeek R1 in Your IDE
05:49 Conclusion and Final Thoughts
DeepSeek JUST released a new open source reasoning LLM, R1. This model is insanely powerful - on par and in some cases even BETTER than OpenAI's o1, and there are even local variations you can run yourself that are on par with o1-mini. Absolutely incredible!
With DeepSeek R1, bolt.diy (our open source AI coding assistant) is literally better than Lovable, and I've NEVER been able to say that before R1. In this video, I show you what you can build with R1, and I'm sure your mind will be blown just like mine was.
I also show you how to run DeepSeek R1 locally both through Ollama and HuggingFace. Lot of value packed in a shorter video!
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Check out bolt.diy here (installation instructions also here):
https://bolt.diy
And join our bolt.diy community over in the oTTomator Think Tank!
https://thinktank.ottomator.ai
FULL prompt that I used with R1 and Claude 3.5 Sonnet:
https://docs.google.com/docume....nt/d/1_PEa20LjjeJuOf
DeepSeek R1 Announcement Post:
https://api-docs.deepseek.com/news/news250120
Reddit Benchmark for DeepSeek R1:
https://www.reddit.com/r/Local....LLaMA/comments/1i5q6
Install DeepSeek R1 through Ollama or HuggingFace:
https://ollama.com/library/deepseek-r1
https://huggingface.co/deepseek-ai/DeepSeek-R1
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
00:00 - Introducing DeepSeek R1
01:13 - DeepSeek R1 Performance and Overview
05:57 - Running R1 Locally - Ollama
08:58 - Running R1 Locally - HuggingFace
06:36 - Prompt for Lovable (Full Explanation)
10:53 - bolt.diy + R1 - the Ultimate Combo
12:12 - The Prompt for bolt.diy + R1
14:25 - Building an App with R1
18:36 - Building an App with Claude 3.5 Sonnet
20:28 - Outro
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT!
“Bloomberg: The China Show” is your definitive source for news and analysis on the world's second-biggest economy. From politics and policy to tech and trends, David Ingles and Stephen Engle give global investors unique insight, delivering in-depth discussions with the newsmakers who matter.
Chapters:
00:00:01 - Bloomberg: The China Show opens
00:03:00 - What to watch in China today
00:04:15 - Trump in dispute with Colombia over deported migrants
00:09:01 - Trump's tariffs, Chinese AI startup DeepSeek in focus
00:15:33 - China boosts index investments
00:21:44 - Breaking: China's factory activity slows ahead of Lunar New Year
00:27:39 - Hang Lung Properties' Adriel Chan on company earnings
00:39:20 - 'Magnificent Seven' set to report Earnings
00:43:55 - Breaking: US stock futures sink as China's DeepSeek sparks tech worries
00:50:15 - Capital's Kyle Rodda on DeepSeek, US tech stocks outlook
01:02:54 - DeepSeek spurs rally in Chinese AI shares with advanced model
01:10:49 - China Decoded: Distressed developers in focus
01:13:41 - Blue Mountain Bridge Capital's Raymond Chan on China's distressed developer debt
--------
More on Bloomberg Television and Markets
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🚨 STOP Paying for Perplexity Pro! 🚨
Discover how DeepSeek R1, the revolutionary AI model with internet search capabilities, can replace your paid Perplexity Pro subscription—saving you hundreds yearly! 💸
🔥 Why DeepSeek R1 Beats Perplexity Pro
Cost: 100% FREE (vs. Perplexity Pro’s $20/month) 9.
Performance: Matches OpenAI’s o1 models in math, coding, and reasoning
Internet Integration: Combines AI reasoning with real-time web data (like Perplexity’s “Academic” mode)
Open-Source Flexibility: Use distilled models (32B/70B) for local deployment or custom projects
No Subscription Hassles: Skip virtual credit cards and age verification errors
Try DeepSeek R1 for Free: chat.deepseek.com
❤️ If you want to support the channel ❤️
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DeepSeek-R1 is a strong performing, open source reasoning model with several distilled versions that can be run locally. Here, we walk through the DeepSeek-R1 paper to review the details of the training methodology, download the 14b distilled model via Ollama, test generation / JSON-mode, and then test it in a fully local "deep research" assistant that performs web-research / summarization w/ an iterative reflection step to improve its results.
Video notes:
https://mirror-feeling-d80.not....ion.site/DeepSeek-R1
Code repo:
https://github.com/langchain-a....i/ollama-deep-resear
Related video on reasoning models:
https://www.youtube.com/watch?v=f0RbwrBcFmc
Prior build-from-scratch video for an earlier version of this research assistant:
https://www.youtube.com/watch?v=XGuTzHoqlj8
In this video, we dive into the powerful combination of DeepSeek-R1 and Cline, the ultimate AI coding agents that allow you to develop a full-stack app without writing a single line of code! 🚀
[🔗 My Links]:
Sponsor a Video or Do a Demo of Your Product, Contact me: intheworldzofai@gmail.com
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[Must Watch]:
Srcbook: NEW AI Coding Agent That Can Generate Full-Stack Applications! (Opensource): https://youtu.be/jFeBQ6S2cHs?si=V7mxeGBhJmUAWb9q
Microsoft's Phi-4 14B: NEW Opensource LLM is a TINY BEAST! Beats GPT-4o! (Fully Tested): https://youtu.be/7ySqrQVLIF8?si=QXJ-RmpJTPrXWECT
Windsurf IDE UPDATE: AI Editor - Cursor Alternative That's FREE & LOCAL!(Autonomous, Web Commands): https://youtu.be/WDJoiG-apkY?si=DKinSFvXNbsrmSrA
[Link's Used]:
Github Repo: https://github.com/cline/cline
Github Repo: https://github.com/deepseek-ai/DeepSeek-R1
Chat Demo: https://chat.deepseek.com/
Model Card: https://ollama.com/library/deepseek-r1
Deepseek API: https://platform.deepseek.com/api_keys
Cline Extension: https://marketplace.visualstud....io.com/items?itemNam
Whether you're a beginner or an experienced developer, this solution is designed to automate the entire coding process, saving you time and effort. Watch as we explore how these tools work together to streamline app development, from backend setup to frontend design, all powered by artificial intelligence. 💻✨
We'll walk you through a step-by-step demo of how DeepSeek-R1 and Cline collaborate to build sophisticated applications in minutes—no coding required. Say goodbye to tedious manual coding and hello to fast, efficient, and scalable app development. Get ready to experience the future of coding with these groundbreaking tools! 🔥
Don’t forget to like, subscribe, and hit the bell icon for more AI-powered development tips and tutorials. Let us know your thoughts in the comments below, and feel free to share your own experiences with no-code tools!
Key Features:
Full-stack app development without writing code
Automates backend, frontend, and database creation
Powered by DeepSeek-R1 AI and Cline integration
Ideal for both beginners and experienced developers
Fast, scalable, and efficient app creation
Tags: DeepSeek-R1, Cline, AI Coding Agent, No Code Development, Full Stack App, Build App Without Code, AI Developer Tools, AI Coding Automation, No Code Platform, AI App Development, AI Software Engineering, Full Stack without Code, DeepSeek AI, Cline No Code, No Code Tools, AI App Builder, App Development Tutorial
Hashtags: #DeepSeekR1 #ClineAI #NoCodeDevelopment #AICoding #FullStackApp #NoCodeTools #AIAppDevelopment #AI #NoCode #AppDevelopment
In todays video we look at Chinas version of o1 and more details on ChatGPT Operator.
Links:
https://chat.deepseek.com/
https://api-docs.deepseek.com/quick_start/pricing/
https://deepmind.google/techno....logies/gemini/flash-
https://www.perplexity.ai/hub/....blog/introducing-the
https://runwayml.com/worlds-of-frames
https://klingai.com/release-notes
https://lumalabs.ai/ray
https://huggingface.co/spaces/tencent/Hunyuan3D-2
Chapters:
0:00 What’s New?
0:31 DeepSeek-R1
3:44 Sam Altman’s Tweet
4:47 ChatGPT Operator & o3-mini
7:54 Gemini 2.0 Flash Thinking Experimental
8:42 Perplexity Sonar
9:40 Runway Frames
12:10 Kling AI Elements
12:48 Luma AI Ray2
13:56 Hunyuan 3D Generator
15:04 Message for Viewers
#ainews #newsyoucanuse
Free AI Resources:
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Premium Options:
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Video on running DeepSeek-R1 Locally : https://youtu.be/FBCLlyc37UQ
The revolutionary DeepSeek R1 model has just been released, delivering unprecedented performance that's transforming the AI landscape. In this comprehensive guide, Professor Patterns reveals the exact steps to harness its power - from basic platform access to advanced API integration.
✨ TIMESTAMPS:
00:00 Breaking News: DeepSeq R1 Release
00:14 Hugging Face Integration Options
00:24 Platform Access Tutorial
00:36 Deep Think Feature Walkthrough
00:48 API Implementation Guide
01:12 Open Web UI Integration
01:35 Model Testing & Performance
🚀 Exclusive Resources:
Platform Access: platform.deepseek.com
Chat Interface: chat.deepseek.com
API Endpoint: https://api.deepseek.com/v1
Transform your AI capabilities with DeepSeq R1's groundbreaking performance. Learn how to integrate this powerful model into your existing workflow, whether you're using the intuitive chat interface or implementing via API.
📚 Full Guide Includes:
Platform navigation
API key generation
Open Web UI configuration
Integration troubleshooting
Performance optimization
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Try DeepSeek R1 and ChatLLM teams here: https://abacus.ai/chat_llm-ent
Dive in as we explore DeepSeek R1—the latest, most impressive open-source AI model to hit the market. In this video, you’ll learn how it compares to industry heavyweights like O1, why it’s lighting up social media, and how effortlessly it integrates into ChatLLM Teams. Whether you’re a seasoned AI developer or just getting started, this walkthrough will show you why DeepSeek R1’s MIT license, lower costs, and top-tier performance could change the entire AI landscape.
Article on Kingy AI: https://kingy.ai/ai/deepseek-r....1s-seamless-integrat
Chapters
0:00 - Introduction
Get a warm welcome and a quick overview of what we’ll cover: DeepSeek R1, how it stacks up against commercial counterparts, and why everyone’s talking about it.
0:21 - What Is DeepSeek R1?
Learn about the fundamentals of DeepSeek R1—its open-source nature, MIT license, and the technical report that sets it apart.
0:40 - Key Advantages & Cost Comparison
Discover why DeepSeek R1 is 10–20 times cheaper to run than O1, while staying impressively close in performance. No hype, no fluff—just results.
0:57 - Seamless Integration in ChatLLM Teams
Watch how easily you can switch models right within the ChatLLM Teams interface. We’ll show you the simple steps to start using DeepSeek R1.
1:15 - Getting Started in Abacus.ai
Follow a step-by-step guide on how to log in (via Google or email) and select DeepSeek R1 from a dropdown menu. Links are provided below.
1:33 - Testing Prompts with DeepSeek R1
See a live demo prompt about a marble under a glass—observe how swiftly DeepSeek R1 processes queries and offers clear, reasoned answers.
1:49 - Example Prompt #2
We try another prompt: “Give me 10 sentences that end with the word apple.” Compare the responses to see how DeepSeek R1 stacks up.
2:27 - Side-by-Side Comparison with O1
We put DeepSeek R1’s output side by side with O1’s to highlight differences in speed, accuracy, and consistency.
3:12 - Observations on Speed & Quality
Hear real-world insights on how well DeepSeek R1 handles language tasks, including where it shines and a few small quirks it still has.
4:05 - Conclusion & Next Steps
Wrapping up: Why DeepSeek R1’s open-source approach matters and how you can leverage it in your own projects. Plus, final thoughts on the future of AI.
Links & Resources
ChatLLM Teams / Abacus.ai: https://abacus.ai/chat_llm-ent
Video on running DeepSeek-R1 via API : https://youtu.be/ZbbPDWOa4XM
In this comprehensive guide, I demonstrate how to harness the power of DeepSeek R1, a groundbreaking AI model that's challenging industry leaders while remaining accessible and cost-effective. My hands-on testing suggests performance that rivals Claude 3.5 Sonnet, making this an essential tool for AI developers and enthusiasts.
📚 What You'll Learn:
Complete installation walkthrough for DeepSeek R1
Performance comparison with leading models
Step-by-step setup using Ollama and LM Studio
Optimization for RTX 4090 GPU
Integration with Open Web UI
⚡ Key Timestamps:
0:00 - Introduction & Initial Impressions
0:22 - Accessing Model Weights
0:36 - Hugging Face Repository Navigation
0:55 - GPU Requirements & Version Selection
1:18 - Ollama Installation Process
2:18 - LM Studio Setup
2:45 - Open Web UI Integration
3:14 - Final Thoughts & Conclusions
🔧 Technical Specifications:
Model Version: DeepSeek R1 Distill QUEN 14 build GGUF
File Size: 12.1GB
Tested GPU: NVIDIA RTX 4090
Compatible Platforms: Ollama, LM Studio, Open Web UI
💡 Resources:
Hugging Face Repository: huggingface.co/onslot
Ollama Download: olama.com
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🔗 Source Code: https://www.ai-for-devs.com
Ready to meet the “GPT4o Killer” from China? In this video, we’ll build a full‑stack application using the DeepSeek V3 API.