OpenAI's Opensource OSS 120B & 20B (Fully Tested)

OpenAI has officially released two open-source models, the Open AI OSS models with advanced reasoning and use cases. These models can run anywhere and come in two variants: a large-scale model for data centers and a 20 billion parameter model optimized for desktops and laptops.

The OSS models showcase strong performance, with the 120 billion parameter model outperforming the O4 Mini on benchmarks and the 20 billion parameter model suitable for edge use cases. These models use OpenAI's proprietary models and feature efficient performance.

The OSS models were evaluated against academic models, showing superiority over proprietary models like the 03 Mini. Despite being slightly lower than other models, the OSS models excel in various benchmarks and scenarios, making them valuable tools for different applications.

The AI SAS landing page generated by the models showed mixed results, with some designs being lackluster. The models were further tested for coding performance, reasoning, and generation tasks, showcasing their abilities and limitations in different scenarios.

The models demonstrated reasoning capabilities by generating answers based on prompts like retirement plans and investment strategies. They were able to reason well in specific scenarios but showed limitations in generating modern designs for apps and content.

The flexibility of the models in tweaking and adapting prompts was tested, showing differing quality in generated outputs based on the input. Despite variations, the models excelled in tasks like unscrambling words and providing correct answers.

The OSS models offer a valuable addition to the open-source community, providing tools for various tasks and applications. The speaker expresses gratitude to the viewers and encourages support for the channel through options like super thanks and subscribing for more content.