Update docs

Author: NielsRogge

docs/hub/model-release-checklist.md

@@ -8,7 +8,7 @@ The Hugging Face Hub is the go-to platform for sharing machine learning models.
 
 When uploading models to the hub, it's recommended to follow a set best practices:
 
-- push weights to separate model repositories. Example: prefer uploading individual quants/ precisions in one repo like [this](https://huggingface.co/jameslahm/yolov10n) over all types/ versions in one like [this](https://huggingface.co/kadirnar/Yolov10/tree/main).
+- push weights to separate model repositories. Example: prefer uploading individual quantizations/precisions in a standalone repo like [this](https://huggingface.co/jameslahm/yolov10n) over all types/versions in one like [this](https://huggingface.co/kadirnar/Yolov10/tree/main).
 - adopt the [Mixin class](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) when pushing custom PyTorch models.
 - leverage [safetensors](https://huggingface.co/docs/safetensors/en/index) for weights serialization as opposed to pickle.