Older Google Pixel Phones Can Serve as Great On-Device AI Hubs, Demonstrated by a User Running an Uncensored 3B Model on a 4-Year-Old Device, With a Caveat

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An aging Pixel smartphone retains its utility across various applications. Although Google’s Tensor might be regarded as the least powerful System on Chip (SoC), especially when juxtaposed with Huawei’s Kirin series, it possesses adequate capability to execute smaller AI models, provided it is meticulously configured.

A notable enthusiast ingeniously crafted a cyberdeck enclosing a Pixel 7, successfully running Qwen2.5-abliterate:3b—a model characterized by 3 billion parameters and devoid of safety filters.

The Pixel 7’s Handling of AI Models Requires Patience, Yielding Only 5 Tokens Per Second

Leveraging Claude Code, Reddit user “Levfo” generated 3D-printed CAD files for the cyberdeck casing tailored for the Pixel 7, thereby transforming it into a handheld computing device capable of executing on-device AI applications.

The screen exhibits a Linux-style terminal, showcasing the command-line tools associated with Claude Code.

Additionally, the foundation appears to have been thoughtfully designed to accommodate a power bank, enabling uninterrupted operation of Qwen2.5-abliterate:3b.

Given the constraints of the Tensor G2 in the Pixel 7, coupled with its 8GB of RAM, executing a more complex model than one comprising 3 billion parameters might be deemed an exercise in futility.

The Qwen2.5-abliterate:3b managed to achieve a mere 5 tokens per second. While this output may not be optimal, it remains feasible for those who can exercise considerable patience.

Moreover, depending on one’s perspective, the ability to run an uncensored model with safety filters purged can be viewed as a beneficial approach, contingent on ensuring no harm arises in the process.

While the endeavor to create a cyberdeck version of the Pixel 7 may seem reminiscent of a hobbyist’s pursuit, it nonetheless serves to illustrate how older Android smartphones can reclaim relevance within the context of burgeoning AI technology.

A hand picks up a light green smartphone from a wooden table, with a plant and earbuds visible in the blurred background.

Undoubtedly, a 3 billion-parameter AI model may not rank among the most sophisticated algorithms operable on handheld devices.

However, addressing fundamental tasks should remain untroublesome. Instead of allowing such smartphones to languish in drawers or closets, might you consider attempting something akin to this? We invite your reflections in the comments section.

Source link: Wccftech.com.

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Souvik Banerjee

I’m Souvik Banerjee from Kolkata, India. As a Marketing Manager at RS Web Solutions (RSWEBSOLS), I specialize in digital marketing, SEO, programming, web development, and eCommerce strategies. I also write tutorials and tech articles that help professionals better understand web technologies.
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