Overmind微调模型减少合同幻觉条款
Overmind用你的生产数据微调小模型，比GPT5.6 Luna少20倍合同幻觉，还能自己托管。
Overmind通过在生产数据上微调Qwen3.5 9B模型，与GPT5.6 Luna相比，在法律合同中减少了20至30倍的幻影条款引用。该模型在逐字引用条款方面准确度提高了7倍。Overmind使用相同的生产数据作为训练和评估基础，输出用户拥有权重的小型开源模型。
A frontier model reading a contract will sometimes cite a clause that isn't there.
Overmind fine-tunes a small open model on your own production traces, then scores it against your current model on evals built from those same real tasks.
Their published comparison is Qwen3.5 9B tuned through Overmind against GPT5.6 Luna. The company reports 20 to 30x fewer phantom clauses in legal contracts and 7x better accuracy at quoting a clause word for word.
Here the observability layer and the training layer share the same data. The traces that show you where the agent fails become the dataset, and the evals are built from real tasks rather than a public benchmark.
The output is a smaller open model with weights you own. You can host it on Overmind or run it yourself.
