GPT-OSS: Open-Source Model from OpenAI

Code Bear
5 Aug 202503:14

TLDROpenAI has released an open-source model called GPT-OSS, which includes a 120B parameter model (around 65 GB) and a 20B parameter model (14 GB). The 120B model achieves near-parity with OpenAI's S4 Mini on core reasoning benchmarks and can run on a single 80GB GPU. The 20B model can run on edge devices with just 16GB of RAM. Users can access these models via Hugging Face, Olama, or LM Studio, or try them out for free on console.croc.com/playground. This is a significant development, making powerful AI models more accessible and usable on various devices.

Takeaways

  • 🚀 OpenAI has released an open-source model named GPT-OSS.
  • 📱 GPT-OSS is available in two versions: a 120B parameter model (around 65 GB) and a 20B parameter model (around 14 GB).
  • 💪 The GPT-OSS 12B model achieves performance comparable to OpenAI's O4 Mini on core reasoning benchmarks.
  • 💻 The 20B model can run on edge devices with just 16 GB of RAM, making it highly accessible.
  • 🌐 GPT-OSS is considered the best and most usable open-source model currently available.
  • 📈 The 120B model can run effectively on a single 80 GB GPU, showcasing its efficiency.
  • 🌐 The GPT-OSS models can be accessed and run via platforms like Hugging Face, Olama, and LM Studio.
  • 🎉 The models are available for experimentation on the website console.croc.com/playground for free.
  • 🌐 The 120B model was tested with a simple prompt (translating 'hello world' to French) and produced a response.
  • 🌐 Users can choose between the 120B and 20B models depending on their needs and hardware capabilities.
  • 📈 The release of GPT-OSS is a significant milestone in making advanced AI models more accessible to a wider audience.

Q & A

  • What is GPT-OSS?

    -GPT-OSS is an open-source model released by OpenAI. It is a state-of-the-art reasoning model with strong real-world performance.

  • Who is Sam Altman and what did he say about GPT-OSS?

    -Sam Altman is the CEO of OpenAI. He tweeted that GPT-OSS is a big deal, describing it as the best and most usable open model in the world right now.

  • What are the two versions of GPT-OSS mentioned in the script?

    -The two versions mentioned are GPT-OSS 120B and GPT-OSS 20B.

  • What is the size of GPT-OSS 120B and where can it be run?

    -GPT-OSS 120B is around 65 GBs and can be run locally on a computer or phone with sufficient resources, such as a single 80GB GPU.

  • What is the size of GPT-OSS 20B and where can it be run?

    -GPT-OSS 20B is around 14 GBs and can run on edge devices like phones with just 16 GBs of RAM.

  • How does GPT-OSS 12B perform compared to OpenAI's GPT-4 Mini?

    -The GPT-OSS 12B model achieves near parity with OpenAI's GPT-4 Mini on core reasoning benchmarks.

  • How does GPT-OSS 20B perform compared to OpenAI's GPT-3 Mini?

    -The GPT-OSS 20B model delivers similar results to OpenAI's GPT-3 Mini on common benchmarks.

  • Where can I access GPT-OSS models?

    -You can access GPT-OSS models on platforms like Hugging Face or Olama. You can also use the command 'Ola run GPT-OSS' to run it locally.

  • Is there a website where I can test GPT-OSS models for free?

    -Yes, you can test GPT-OSS models for free on the website console.croc.com/playground.

  • Can you give an example of using GPT-OSS on console.croc.com/playground?

    -Yes, you can choose the 120B or 20B model on the website and submit a prompt, such as 'translate hello world in French,' to see the model's response.

Outlines

00:00

🚀 Introduction to GPDOSS and Its Capabilities

The paragraph introduces GPDOSS, a recently released open model by OpenAI. It highlights the tweet by Sam Altman, emphasizing the significance of GPDOSS as a state-of-the-art open weights reasoning model. The model is compared to O4 mini, showcasing its impressive real-world performance and ability to run locally on computers or phones. The paragraph further details the availability of GPDOSS in two sizes: a 120B model (around 65 GB) and a 20B model (14 GB), with the latter being capable of running on edge devices with just 16 GB of RAM. It also mentions that the 12B model achieves near parity with OpenAI's S4 mini on core reasoning benchmarks while running on a single 80GB GPU. The paragraph provides information on how to access and use GPDOSS, either through Hugging Face, Olama, or LM Studio, and mentions a free playground on console.croc.com where users can experiment with the model. An example of using the 120B model to translate 'hello world' into French is given to demonstrate its functionality.

Mindmap

Keywords

💡OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. In the context of this video, OpenAI is significant because it is the organization that has released the GPT-OSS model. The script mentions OpenAI multiple times, highlighting its role in developing this new open-source model, which is a major focus of the video's discussion.

💡GPT-OSS

GPT-OSS is an open-source model released by OpenAI. It is described in the script as a state-of-the-art reasoning model with strong real-world performance. The video emphasizes that GPT-OSS is a big deal because it can run locally on computers or even phones, making it highly accessible and usable. The script mentions different versions of GPT-OSS, such as the 120B and 20B models, which are key to understanding the capabilities and applications of this technology.

💡State-of-the-art

State-of-the-art refers to something that is at the highest level of development or the most advanced stage in its field. In the context of the video, the term is used to describe GPT-OSS, indicating that it is one of the best and most advanced models currently available. This is important because it sets the expectation that GPT-OSS is not just another model, but one that pushes the boundaries of what is possible in AI, as evidenced by its performance and capabilities.

💡Open weights

Open weights refers to the practice of making the weights (parameters) of a machine learning model publicly available. In the video, GPT-OSS is described as having open weights, which means that its internal parameters are accessible to users. This is significant because it allows developers to understand, modify, and improve the model, making it more transparent and customizable compared to closed-source models.

💡Core reasoning benchmarks

Core reasoning benchmarks are standardized tests used to evaluate the reasoning capabilities of AI models. The video mentions that GPT-OSS achieves near parity with OpenAI's S4 mini on these benchmarks. This is important because it demonstrates the model's effectiveness in core reasoning tasks, which are fundamental to many AI applications. By performing well on these benchmarks, GPT-OSS shows that it can handle complex reasoning tasks efficiently.

💡Edge devices

Edge devices are devices that operate at the edge of a network, such as smartphones, tablets, and IoT devices. The script highlights that GPT-OSS can run on edge devices with just 16 GB of memory, which is remarkable. This means that the model can be used on smaller, less powerful devices, making it highly versatile and accessible for a wide range of applications, from mobile devices to embedded systems.

💡Hugging Face

Hugging Face is a platform that provides tools and resources for natural language processing (NLP) and machine learning. The video mentions Hugging Face as a place where users can access the GPT-OSS model. This is relevant because it shows that GPT-OSS is integrated into a well-known and widely used platform, making it easier for developers to use and experiment with the model.

💡Olama

Olama is another platform mentioned in the script that allows users to run the GPT-OSS model. It is described as a simple way to use the model locally. This is important because it provides an alternative method for users to interact with GPT-OSS, making it more accessible to those who may not be familiar with more complex deployment processes. The script provides a command example for running GPT-OSS using Olama, demonstrating its ease of use.

💡LM Studio

LM Studio is another tool mentioned in the script that can be used to run the GPT-OSS model. It is part of the options available for users who want to deploy the model locally. This highlights the flexibility and accessibility of GPT-OSS, as it can be used with different tools and platforms, catering to different user preferences and technical backgrounds.

💡Console.croc.com/playground

Console.croc.com/playground is a website mentioned in the script where users can experiment with the GPT-OSS model for free. This is significant because it provides a low-barrier entry point for users who want to test the model without having to set up their own environment. The script demonstrates how to use this playground by translating 'hello world' into French, showing that it is a practical and easy way to interact with GPT-OSS.

Highlights

OpenAI released an open-source model called GPT-OSS.

Sam Altman tweeted that GPT-OSS is a big deal.

GPT-OSS is a state-of-the-art open weights reasoning model.

GPT-OSS has strong real-world performance comparable to O4 mini.

GPT-OSS can run locally on computers or phones with smaller size.

GPT-OSS 120B is a larger model around 65 GBs.

GPT-OSS 20B can run on phones with 16 GB of RAM.

GPT-OSS 12B achieves near parity with OpenAI's O4 mini on core reasoning benchmarks.

GPT-OSS 20B delivers similar results to OpenAI's O3 Mini on common benchmarks.

GPT-OSS 20B can run on edge devices with just 16 GBs of memory.

GPT-OSS can be accessed via Hugging Face or Olama.

The command 'Ola run GPT-OSS' can be used to run the model.

GPT-OSS 120B and 20B are available on Olama and LM Studio.

GPT-OSS can be tested for free on console.croc.com/playground.

GPT-OSS can be used locally by pulling the model using Olama.