Huo Xing Cai Jing reports that, according to Tether’s official announcement, Tether AI Research has released the open-weight model QVAC BotPsy, which features 800 million parameters and is built on Alibaba’s Qwen3.5 architecture, designed for tool invocation and agent tasks on personal devices.
Tether stated that BotPsy scored approximately twice as high as its base model across four benchmarks—BFCL v4, ACEBench, τ-bench, and ToolSandbox—and outperformed Qwen3.5-2B-Think, a model with 2 billion parameters. The model can convert user requests into local tool calls, and developers can adapt and deploy its weights within their own systems.
Tether Releases the 800M-Parameter BotPsy AI Model for On-Device Tasks
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Summary
Tether AI Research has unveiled BotPsy, an open-weight AI model with 800 million parameters. Built on Alibaba’s Qwen3.5 architecture, the model is optimized for on-device agent tasks and tool calling. Tether reports that BotPsy outperforms its base model by approximately double across four benchmarks and surpasses the 2B-parameter Qwen3.5-2B-Think. The model enables developers to adapt and deploy its weights locally. This AI + crypto update highlights a new on-chain advancement in decentralized AI capabilities.
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