While some mutations, have had their mechanisms and consequences thoroughly studied, in many cases mutations are simply linked to a trait. Since it is easier to show correlation than causation, and that the former does not necessarily imply the latter, it is important to further study mutations of notice to understand their potential consequences.
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Still not right. Luckily, I guess. It would be bad news if activations or gradients took up that much space. The INT4 quantized weights are a bit non-standard. Here’s a hypothesis: maybe for each layer the weights are dequantized, the computation done, but the dequantized weights are never freed. Since the dequantization is also where the OOM occurs, the logic that initiates dequantization is right there in the stack trace.
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