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cognitivecomputations
/
WizardLM-7B-Uncensored
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Cognitive Computations
802
Text Generation
Transformers
PyTorch
ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
llama
uncensored
text-generation-inference
Inference Endpoints
License:
other
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ca45eff
WizardLM-7B-Uncensored
5 contributors
History:
10 commits
ehartford
TheBloke
Change use_cache to True which significantly speeds up inference (
#2
)
ca45eff
over 1 year ago
.gitattributes
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1.48 kB
initial commit
over 1 year ago
.gitignore
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13 Bytes
model
over 1 year ago
README.md
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493 Bytes
Update README.md
over 1 year ago
added_tokens.json
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21 Bytes
initial
over 1 year ago
config.json
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552 Bytes
Change use_cache to True which significantly speeds up inference (#2)
over 1 year ago
generation_config.json
Safe
137 Bytes
initial
over 1 year ago
latest
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16 Bytes
model
over 1 year ago
pytorch_model.bin
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pickle
Detected Pickle imports (3)
"collections.OrderedDict"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.HalfStorage"
What is a pickle import?
13.5 GB
LFS
model
over 1 year ago
rng_state_0.pth
pickle
Detected Pickle imports (7)
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"_codecs.encode"
,
"numpy.ndarray"
How to fix it?
17.6 kB
LFS
model
over 1 year ago
rng_state_1.pth
pickle
Detected Pickle imports (7)
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"_codecs.encode"
,
"numpy.ndarray"
How to fix it?
17.6 kB
LFS
model
over 1 year ago
rng_state_2.pth
pickle
Detected Pickle imports (7)
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"_codecs.encode"
,
"numpy.ndarray"
How to fix it?
17.6 kB
LFS
model
over 1 year ago
rng_state_3.pth
pickle
Detected Pickle imports (7)
"torch.ByteStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"_codecs.encode"
,
"numpy.ndarray"
How to fix it?
17.6 kB
LFS
model
over 1 year ago
special_tokens_map.json
Safe
96 Bytes
initial
over 1 year ago
tokenizer.json
Safe
1.84 MB
Upload fast tokenizer, which is the recommended and default for transformers now (#1)
over 1 year ago
tokenizer.model
Safe
500 kB
LFS
initial
over 1 year ago
tokenizer_config.json
Safe
727 Bytes
initial
over 1 year ago
trainer_state.json
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625 kB
model
over 1 year ago
training_args.bin
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4.98 kB
LFS
model
over 1 year ago
zero_to_fp32.py
Safe
24 kB
model
over 1 year ago
