quanllm-harness is an open-source Python package for agentic verification of QuanLLM-v2.0-qm. It uses agent workflows and symbolic computation tooling such as SymPy to check model outputs, targeting developers and researchers working on specialized language-model evaluation.
quanllm-harness is an Agent evaluation & testing project. It focuses on verifying outputs from the QuanLLM-v2.0-qm model with agentic and symbolic checks. It is built as an open-source project for AI researchers and developers evaluating quantum-mechanics language models. The project is open source (MIT). quanllm-harness is available on the command line, and it can be self-hosted.
It is developed by lct-unv, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Key capabilities include agentic verification, LLM evaluation, and quantum mechanics checks.
Summary written by a language model from the project’s public pages.
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