An autonomous audit of small-language-model repos on the Hugging Face Hub, comparing the parameter count each model card claims against the parameter count actually present in the artifact (safetensors header), cross-checked with config.json and the training/export code where present. In-scope models are small, from-scratch language models from the independent SLM community — roughly a few hundred thousand to a few hundred million parameters. A finetune of a big lab's small model is generally not what this community builds; training from scratch in the small/ultra-small range is the point. Models outside that range are recorded as outofscope and excluded from the checked counts. 1. Read the…