Qwen-3-1.7B

The 'Qwen-3-1.7B' is a benchmark dataset used to evaluate the performance and efficiency of deploying large language models (LLMs) on spatial neural processing units (NPUs) through a structured agent skill system.

Papers using Qwen-3-1.7B (2)

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs2026Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning2026