When Model Compression Gains Come at the Cost of Output Distribution Collapse
You trimmed a 7B parameter model down to 4 bits. output doubled. Latency halved. But in output, the model started misclassifying rare classe it used t...
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You trimmed a 7B parameter model down to 4 bits. output doubled. Latency halved. But in output, the model started misclassifying rare classe it used t...
You push a new model to stagion. The canary picks it up—green metrics, low latency. Confidence is high. Then, at 25% traffic, error rates spike. You r...