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q-future
/
co-instruct
like
16
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Q-Future
13
Image-Text-to-Text
Transformers
PyTorch
Safetensors
q-future/Q-Instruct-DB
q-future/Co-Instruct-DB
mplug_owl2
feature-extraction
custom_code
arxiv:
2402.16641
Model card
Files
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2
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796a500
co-instruct
2 contributors
History:
3 commits
teowu
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796a500
10 months ago
.gitattributes
1.52 kB
initial commit
10 months ago
config.json
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10 months ago
latest
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preprocessor_config.json
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pytorch_model-00001-of-00004.bin
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pytorch_model-00002-of-00004.bin
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pytorch_model-00003-of-00004.bin
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pytorch_model-00004-of-00004.bin
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pytorch_model.bin.index.json
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rng_state_0.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
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17.7 kB
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
How to fix it?
17.7 kB
LFS
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
How to fix it?
17.7 kB
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10 months ago
scheduler.pt
pickle
Pickle imports
No problematic imports detected
What is a pickle import?
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special_tokens_map.json
438 Bytes
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tokenizer.model
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tokenizer_config.json
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trainer_state.json
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training_args.bin
pickle
Detected Pickle imports (12)
"__main__.TrainingArguments"
,
"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.IntervalStrategy"
,
"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
,
"transformers.trainer_utils.HubStrategy"
,
"torch.bfloat16"
,
"transformers.integrations.deepspeed.HfDeepSpeedConfig"
,
"torch.device"
,
"transformers.trainer_utils.SchedulerType"
,
"accelerate.utils.dataclasses.DistributedType"
,
"accelerate.state.PartialState"
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zero_to_fp32.py
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