If it’s not zhipu then why is it returning errors that zhipu does for other models? Who else would return the exact same errors even if they took a lot of core infra like tokenizer from z?

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e9 11 minutes ago | parent [-]

Someone could've trained model on top of GLM. Same way Cognition trained their SWE model on top of Kimi and Cursor did same with their Composer model.

	▲	gvkhna 7 minutes ago \| parent [-]
		While possible the amount of variation in serving infrastructure is unlikely to land with actually giving the exact same errors zhipu does. It feels like glm flash, and there was a report zhipu had secured a huge new cluster suggesting they have the capacity. My guess anyway.