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🐛 Fixup more test failures from memory profiling #9563
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Signed-off-by: Joe Runde <[email protected]>
Signed-off-by: Joe Runde <[email protected]>
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Signed-off-by: Joe Runde <[email protected]>
Signed-off-by: Joe Runde <[email protected]> Signed-off-by: charlifu <[email protected]>
Signed-off-by: Joe Runde <[email protected]> Signed-off-by: Vinay Damodaran <[email protected]>
Signed-off-by: Joe Runde <[email protected]> Signed-off-by: Alvant <[email protected]>
Signed-off-by: Joe Runde <[email protected]> Signed-off-by: Erkin Sagiroglu <[email protected]>
Signed-off-by: Joe Runde <[email protected]> Signed-off-by: Amit Garg <[email protected]>
Signed-off-by: Joe Runde <[email protected]> Signed-off-by: qishuai <[email protected]>
Signed-off-by: Joe Runde <[email protected]> Signed-off-by: Sumit Dubey <[email protected]>
This fixes a couple more tests that are now failing after followup fixes to cuda memory profiling in #9516
One lora test needed a bit more memory, and there seems to be a bug with some quantized models returning different results when run in different batches. This caused the score for the
Meta-Llama-3-8B-Instruct-INT8-compressed-tensors
test to increase enough over the expected score that the test failed. After talking to @robertgshaw2-neuralmagic we replaced the test with a smaller 1b model running 1000 samples instead of 25 so the results will be a bit more stable but it'll still take about the same amount of time to run.I'll open a bug report about that issue soon
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