Qwen 3.6, a new series of high-performance, open weight large language models (LLMs) from Alibaba, are ideal for running local agents like Hermes. The Qwen 3.6 27B and 35B parameter models are outperforming their previous-generation 120B and 400B parameter model counterparts and run on NVIDIA RTX and DGX Spark for accelerated agentic AI.

Like other popular agents, Hermes integrates with messaging apps, can access local files and applications, and runs 24/7. But four standout capabilities set it apart:

Both the Hermes agent and the underlying LLM are built to run locally — which means the quality of hardware directly determines the quality of a user’s experience. NVIDIA RTX GPUs are purpose-built for this kind of workload.

The latest Qwen 3.6 models build on the acclaimed Qwen 3.5 series to deliver another leap forward for local AI agents. The new Qwen 3.6 35B model runs on roughly 20GB of memory while surpassing 120 billion-parameter models, which require 70GB+ of memory.