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q-future
/
q-align-iqa
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Q-Future
26
Text Generation
Transformers
PyTorch
mplug_owl2
arxiv:
2312.17090
License:
mit
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q-align-iqa
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config.json
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rng_state_0.pth
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Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
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"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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rng_state_1.pth
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Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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rng_state_2.pth
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Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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rng_state_5.pth
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Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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rng_state_6.pth
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Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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rng_state_7.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
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special_tokens_map.json
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tokenizer.model
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trainer_state.json
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training_args.bin
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Detected Pickle imports (12)
"transformers.trainer_utils.IntervalStrategy"
,
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,
"accelerate.state.PartialState"
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zero_to_fp32.py
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