trash
68 downloads
0 likes
on ModelScope
updated
ModelScope
SmilingWeeping/trash · model repository
official
- Revision
-
master - Files
- 37
- Downloaded from this source
- 68
Provider-specific. This path, revision and file list belong to ModelScope alone. A different source for the same model may publish different files, or the same names with different contents — which is why nothing here is merged across providers.
Files 37
· revision master
Hashes: Git OID identifies the file in the repository; LFS SHA256 is the fingerprint of a large file's contents; Xet is the provider's own content fingerprint. Expand “hashes” on any row for the full values.
-
.gitattributes 4.3 KiB
5f82077b9c4ehashes
- LFS SHA256
5f82077b9c4e8c30e9b46552b0c74256a1a6dc74dbdfea707d49128db15c3732
-
adapter_config.json 895 B
bbe4a6263b50hashes
- LFS SHA256
bbe4a6263b50bb30e04ef2169ac75a791869b1c3d35d2a4338e86f0227a6336e
-
added_tokens.json 707 B
c0284b582e14hashes
- LFS SHA256
c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
-
all_steps_finals.zip LFS 588.8 MiB
671a55ea799bhashes
- LFS SHA256
671a55ea799b077190b732789da891dbc6ba66b57c70bdf9d7b1e6aaa9d7a896
-
bioreason-pro-official.zip LFS 34.8 MiB
99626aad1983hashes
- LFS SHA256
99626aad1983cb5a31a306ced945ef844b52b0dc99fa17ef66c7f3a6f14501ee
-
chat_template.jinja 5.2 KiB
3636d0f0bd6bhashes
- LFS SHA256
3636d0f0bd6bef02654cdffdc447b79cb2cef8ab02cc75267345946291a489e4
-
checkpoints.zip LFS 455.3 MiB
85ce9d4cc915hashes
- LFS SHA256
85ce9d4cc915d5ef90f867c5d6984398a30b8190666255cb94a4e9f0fc939198
-
Data.zip LFS 26.9 GiB
e883e7649717hashes
- LFS SHA256
e883e7649717a1b8939ff652f7d16693c61b73b5a142de7f008bceb80bebad42
-
EmoThink.zip LFS 222.1 MiB
721ec6f2b701hashes
- LFS SHA256
721ec6f2b701d37cc248724de7a702207066ae85704d3356443380cbdd363a73
-
env.zip LFS 7.9 GiB
07e9ea2d1c5ehashes
- LFS SHA256
07e9ea2d1c5ef4b8d7a2003660bf295e602976a17f7cb86c6068fbf2e46b3fb2
-
eval_json.zip LFS 463.4 MiB
234dad85b959hashes
- LFS SHA256
234dad85b959fde3fd06dc5d5a8e63145bf10e4a526489fca63e7b1949967abf
-
latest 14 B
56444c3be851hashes
- LFS SHA256
56444c3be851f0ff08f56191cf524271ade8900c9c9e656a2fb08fb0f36d4b8a
-
llm-factory-pipeline-06-27.zip LFS 57 MiB
00fc4f5f5da2hashes
- LFS SHA256
00fc4f5f5da2f8feb6c7e566e46fed331c88b0045dd69a0372906f032caf3b73
-
merges.txt LFS 1.6 MiB
8831e4f1a044hashes
- LFS SHA256
8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
-
optimizer.pt LFS 362.6 MiB
77a1b4a742d6hashes
- LFS SHA256
77a1b4a742d6e12e52150d0beda63a75eb78e86dc5c1d5e9ccfc6c1cda5bb87b
-
preprocessor_config.json 782 B
93585062a80dhashes
- LFS SHA256
93585062a80db5e8ca038efc7726a3e6411d9db948472d81d63c6303993be8c5
-
processor_config.json 39 B
321489ef1462hashes
- LFS SHA256
321489ef1462bf949eccac2f1c2b5fb1efa9154b910bd5577d8c8483ffe0ab1b
-
pytorch_model.bin.index.json 211 KiB
9257b4a0ec6fhashes
- LFS SHA256
9257b4a0ec6f1faf70dccb2c27367e55dd3aab8f2f4530f62175af074c8d17a3
-
Q27B-SFT.zip LFS 244.4 MiB
a9a699166e2fhashes
- LFS SHA256
a9a699166e2fc1748316f292184bcf01b86ab481b041d056fee07a9310f27f3f
-
README.md 5 KiB
08c68b5cee3chashes
- LFS SHA256
08c68b5cee3cf8c1dd3dbb669738c5200fe9ecededcf21900df20e5306ff11b6
-
rng_state_0.pth LFS 15.3 KiB
b9efb519cc55hashes
- LFS SHA256
b9efb519cc558c8d12dfa06455ea91cc2f862a263f439d1d266e2695489878c5
-
rng_state_1.pth LFS 15.3 KiB
71699acfc4c0hashes
- LFS SHA256
71699acfc4c09ca83aff1f78805682a55bfef08d4ae27639b4510113f6f4560c
-
rng_state_2.pth LFS 15.3 KiB
3cc304185160hashes
- LFS SHA256
3cc3041851605be9ea9bda8b3aafbcb7980dc17b486fc423a4c377804aa9b9a5
-
rng_state_3.pth LFS 15.3 KiB
89c0d11ef262hashes
- LFS SHA256
89c0d11ef262897199503c23c955b8c3ceca6681394aeeed1cc9dbb3a0586c5f
-
rng_state_4.pth LFS 15.3 KiB
4cd5b7071b29hashes
- LFS SHA256
4cd5b7071b2931a6acba95b5de38b8cce52251abad0c7ff51736a890ebd097a3
-
rng_state_5.pth LFS 16 KiB
9197ec3b9d83hashes
- LFS SHA256
9197ec3b9d83ccbc9f98dcd5edfe25b82d42a2de8b20c97b38c0eca34bd7348e
-
rng_state_6.pth LFS 16 KiB
613faaa63be6hashes
- LFS SHA256
613faaa63be6a67160d72dcd50f36dcc6b6eed73e52d2a1416570bbb509b5ae8
-
rng_state_7.pth LFS 16 KiB
d1de92660a96hashes
- LFS SHA256
d1de92660a962e060e29b089f2f0fe56ad844218ffcce94cc4f897b41e962d7d
-
scheduler.pt LFS 1.4 KiB
40cb035c4fb1hashes
- LFS SHA256
40cb035c4fb1d54485a38b69adcd6e64c8cbd4a55a4cdd3b501c7bc5ef367b63
-
special_tokens_map.json 613 B
76862e765266hashes
- LFS SHA256
76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
-
tokenizer.json LFS 10.9 MiB
f54b55fa0c3ahashes
- LFS SHA256
f54b55fa0c3aba0c91ce09ea79ae4e62da24e2a1a630f96c4bae34aba25e234a
-
tokenizer_config.json 5.3 KiB
81ec7bb95301hashes
- LFS SHA256
81ec7bb9530159b326c0bef1d0b6c33d392090524014ea3f0123a3c1eb9c2af5
-
trainer_state.json 57 KiB
db888d09f94fhashes
- LFS SHA256
db888d09f94f4a4e13a403a8dae3a6150ce82e549c4cdc3364aca685c3d4cd20
-
training_args.bin LFS 8.8 KiB
d81a8f458bcdhashes
- LFS SHA256
d81a8f458bcd34e495a4fa918a2deb0c8cf34f9292fdc2a117ec1e3c251df554
-
video_preprocessor_config.json 817 B
59c5c9eb5218hashes
- LFS SHA256
59c5c9eb52182eb14c06ffb10ca9effd29adce5f238a95de23ca14a38dbd2cb1
-
vocab.json LFS 2.6 MiB
ca10d7e9fb3ehashes
- LFS SHA256
ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
-
zero_to_fp32.py 32.5 KiB
e8a2553b434ahashes
- LFS SHA256
e8a2553b434ac043ec63b022db1e768277acf8d4e70f10a2842db6d238977135