Home/Events/BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model

BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model

Confirmed
Confidence
90%
Impact: 80%
Updated 15m ago

Consensus Brief

Tether AI Research has introduced BotPsy, a personal assistant model with 0.8 billion parameters designed for on-device deployment. It excels in tool-use and agentic performance, outperforming larger models in its category on multiple benchmarks while ensuring user data privacy.

Sourced from
Primary: Hugging Face

What Changed Since Last Update

15m ago

New official source added: Hugging Face published an update on Wed, 11 No ("BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model").

Claim Ledger

4 claims tracked across sources

Confirmed Fact

BotPsy achieves state-of-the-art tool-use and agentic performance for its size, outperforming every model of up to 1.2B parameters tested.

Confirmed Fact

BotPsy scores 82.5 in telecom on τ²-bench, ahead of Qwen3.5-2B-Think (69.3).

Confirmed Fact

In automated red-teaming, BotPsy produces unsafe responses 21% of the time, compared to 36% for its base model.

Confirmed Fact

BotPsy's instruction following improves sharply, with IFEval rising from 59.7 to 90.8.

Role-Based Impact Analysis

Source Timeline

30 sources corroborating