Tether AI Research launches 0.8B parameter BotPsy model
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Tether AI Research has launched the 0.8B parameter BotPsy model built based on Qwen3.5-0.8B, designed specifically for on-device intelligent assistants and agent workflows. The model outperforms all ≤1.2B parameter models, including Qwen3.5-2B-Think, in 6 tool use and agent benchmark tests, achieving the highest scores in 5 tests, with a 2.5x speed increase and a 3x improvement in reasoning efficiency.
AI-written from the reports · Updated 4 days ago
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- Hugging Face BlogTether AI Research has launched the 0.8B parameter BotPsy model, used for device-side intelligent assistants and agent workflows
Tether AI Research has launched the 0.8B parameter BotPsy model, built based on Qwen3.5-0.8B, specifically designed for function calls and agent workflows, suitable for on-device deployment. BotPsy outperforms all ≤1.2B parameter models in 6 tool use and agent benchmark tests, including Qwen3.5-2B-Think, achieving the highest scores in 5 tests, with a 2.5x speed increase and a 3x improvement in reasoning efficiency.
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