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QuixiAI
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WizardLM-7B-Uncensored
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Quixi AI
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Text Generation
Transformers
PyTorch
ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
llama
uncensored
text-generation-inference
License:
other
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xet
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refs/pr/2
WizardLM-7B-Uncensored
13.5 GB
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5 contributors
History:
10 commits
TheBloke
Change use_cache to True which significantly speeds up inference
721f3de
almost 3 years ago
.gitattributes
Safe
1.48 kB
initial commit
almost 3 years ago
.gitignore
Safe
13 Bytes
model
almost 3 years ago
README.md
493 Bytes
Update README.md
almost 3 years ago
added_tokens.json
Safe
21 Bytes
initial
almost 3 years ago
config.json
Safe
552 Bytes
Change use_cache to True which significantly speeds up inference
almost 3 years ago
generation_config.json
Safe
137 Bytes
initial
almost 3 years ago
latest
16 Bytes
model
almost 3 years ago
pytorch_model.bin
Safe
pickle
Detected Pickle imports (3)
"torch.HalfStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"collections.OrderedDict"
What is a pickle import?
13.5 GB
xet
model
almost 3 years 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
xet
model
almost 3 years 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
xet
model
almost 3 years 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
xet
model
almost 3 years 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
xet
model
almost 3 years ago
special_tokens_map.json
Safe
96 Bytes
initial
almost 3 years ago
tokenizer.json
1.84 MB
Upload fast tokenizer, which is the recommended and default for transformers now (#1)
almost 3 years ago
tokenizer.model
Safe
500 kB
xet
initial
almost 3 years ago
tokenizer_config.json
Safe
727 Bytes
initial
almost 3 years ago
trainer_state.json
625 kB
model
almost 3 years ago
training_args.bin
4.98 kB
xet
model
almost 3 years ago
zero_to_fp32.py
24 kB
model
almost 3 years ago
