Tether Releases the 800M-Parameter BotPsy AI Model for Edge Devices

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Tether AI Research has launched BotPsy, an 800-million-parameter open-weight AI model designed for edge devices. Built on Alibaba’s Qwen3.5 architecture, it excels in tool calling and agent tasks. Tether claims BotPsy outperforms its base model by approximately double across four benchmarks and surpasses the 2-billion-parameter Qwen3.5-2B-Think. The model supports local tool calls and is adaptable for deployment. This AI + crypto update highlights key on-chain developments.
ME AI message: 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 on 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. (Source: ChainCatcher)
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