LLMs can be downloaded with Opera
The web browser manufacturer Opera has announced that users can now download and utilize large language models (LLMs) locally on their PC. Users of Opera One who receive developer stream updates will be the first to benefit from this feature, which will let them choose among more than 150 models across more than 50 families.
Among these models are Vicuna, Gemma from Google, and Llama from Meta. Opera's AI Feature Drops Program will make the feature available to consumers, giving them early access to some of the AI functions.
According to the business, these models are being executed on your computer through the browser utilizing the Ollama open source framework. All of the models that are now on offer are a selection from Ollama's library, but the company hopes to add models from other sources in the future.
Each option, according to the business, would require more than 2GB of space on your local PC. Thus, in order to prevent running out of storage, you should use your free space carefully. Interestingly, Opera does not attempt to conserve data when a model is being downloaded.
For the first time ever, Opera has made a wide range of third-party local LLMs accessible straight through the browser. As they become more and more specialized for the tasks at hand, it is projected that they may shrink in size, according to a statement sent to TechCrunch by Jan Standal, VP of Opera.
This functionality is helpful if you want to test multiple models locally, however there are lots of online resources available to investigate different models, such as HuggingChat and Poe on Quora, if you want to save space.
Since last year, Opera has been experimenting with AI-powered features. In May of last year, the business unveiled Aria, a sidebar assistant that was later included to the iOS version. Opera announced in January that it was developing an AI-powered browser for iOS that would use its own engine, in response to EU's Digital Market Acts (DMA) requesting that Apple remove the requirement that mobile browsers use the WebKit engine.
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