Run Cutting-Edge AI on Your Own Linux PC — Meet OLMOE

Discover a new gem in the world of open-source AI! In this video, we dive deep into OLMOE 1B-7B Instruct by Allen AI, a cutting-edge Large Language Model (LLM) that's redefining what's possible with AI technology.

🔥 What's Inside:

Introduction to OLMOE:
Learn about OLMOE's unique approach to Mixture of Experts (MoE) technology.
Understand how it differs from previous models like Mistral and Llama.
Find out why building a new base model (OLMO) from scratch sets it apart.

Performance Breakdown:
See how OLMOE stacks up against other top models in the industry.
Discover how this 7B parameter model outperforms larger models like Llama 2 13B Chat.
Explore the benchmarks that showcase its state-of-the-art capabilities.

100% Open Source Advantage:
Discuss the importance of open-source models in democratizing AI.
Learn how having full access to weights and code fosters innovation.
Consider the potential for entire ecosystems to build upon OLMOE.

Step-by-Step Installation Guide:
Follow along as we set up OLMOE on an Ubuntu server using a rented RTX A6000 GPU via RunPod.
Get detailed instructions on installing necessary dependencies like Python 3.12, PyTorch, and Git Large File Support.
Overcome common installation hurdles with easy-to-follow solutions.

Hands-On Testing:
Watch as we put OLMOE through a series of tests to evaluate its:
Natural Language Processing Skills
Reasoning Abilities
Coding Competence
Censorship Detection
Analyze its responses to complex questions and coding tasks.
See where it excels and where there's room for improvement.

Future Implications:
Speculate on how OLMOE's open-source nature could influence future AI developments.
Discuss the potential for new projects and tools built on top of this model.
Encourage community engagement and contribution to its evolution.

🤖 Why You Should Watch:

If you're passionate about AI, machine learning, or open-source technology, this video is a must-watch! Whether you're a developer looking to experiment with new models or an enthusiast curious about the latest in AI advancements, you'll find valuable insights and practical knowledge here.

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🛠 Join the Community:

Twitter: @vectro

Thank you for watching all the way to the end! If you're new here, I regularly test and curate language models that are either personal favorites or represent the latest breakthroughs. I also provide step-by-step guides on how you can run these models on your own hardware or in the cloud.

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See you in the next one!

🛠 Technical Info:

Tested on A6000 GPU

Requirements:
* Install Latest Transformers from Source
* Python 3.12 and pip
* git
* git-lfs

Timestamps:
00:00 - Greeting
00:06 - Intro
02:26 - Cloud Setup
02:33 - Commands to Install on Linux
05:09 - Initial Test
05:41 - Standard Test Prompts
10:17 - Final Analysis
11:14 - Random Kitten

[josephmasterpeck]

Nice video, i feel like this should have a lot more views it is very engaging

[docmalitt]

Technically it wasn't wrong about the beer bottle. You didn't specify if it was ..maybe.. a Super-Glue (or however the brand is called at your place) or just a simple run-of-the-mill glue. It is a huge difference. You are also assuming the glue will stop "gluing" after you alloy your suction. The puns kept coming (again) regarding the suck..tion. Damn it. Sorry. Didn't mean any disrespect. Have a Q... Got me a laptop with i7-12th gen + 46 GB RAM but GPU is dedicated sh*t so what would be your choice of "homelab" FOSS LLM to have as my Dr. Watson? If you have any, of course...