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Signed-off-by: Brian Dellabetta <[email protected]>
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tests/lmeval/configs/vl_fp8_dynamic_per_token.yaml

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@@ -13,7 +13,7 @@ lmeval:
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batch_size: 8
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# dense model achieves 0.4 accuracy
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# result is the same (0.333) with
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# "quantization_confg": CompressedTensorsConfig(run_compressed=False)
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# "quantization_config": CompressedTensorsConfig(run_compressed=False)
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# in model_args
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metrics:
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acc,none: 0.333

tests/lmeval/configs/vl_int8_w8a8_dynamic_per_token.yaml

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@@ -15,7 +15,7 @@ lmeval:
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num_fewshot: 0
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# dense model achieves 0.233 accuracy
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# result is the same (0.233) with
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# "quantization_confg": CompressedTensorsConfig(run_compressed=False)
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# "quantization_config": CompressedTensorsConfig(run_compressed=False)
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# in model_args
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metrics:
2121
acc,none: 0.233

tests/lmeval/configs/vl_w4a16_actorder_weight.yaml

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@@ -15,7 +15,7 @@ lmeval:
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num_fewshot: 0
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# dense model achieves 0.4 accuracy
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# result is lower (0.366) with
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# "quantization_confg": CompressedTensorsConfig(run_compressed=False)
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# "quantization_config": CompressedTensorsConfig(run_compressed=False)
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# in model_args
2020
metrics:
2121
acc,none: 0.4

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