Hugging Peers

TeleChat-12B-v2

☆ Save
by TeleAI text-generation pytorch
1.5K downloads 4 likes on ModelScope updated

ModelScope

TeleAI/TeleChat-12B-v2 · model repository official

Open upstream ↗
Revision
main
Files
13
Downloaded from this source
1.5K

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 13 · revision main

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 1.5 KiB 250c7e711fdc
    hashes
    LFS SHA256
    250c7e711fdc0cb21d71417b4dd84fe42790c67f6e34003b9e53795b2655983b
  • config.json 1 KiB dca4358108a5
    hashes
    LFS SHA256
    dca4358108a5db19db6e5d380e3866f102b0fd217fa3f2ed6b00fa2ec3a1442a
  • configuration.json 73 B f88842172666
    hashes
    LFS SHA256
    f888421726665e8a84b738eed42a64875aed79de8be7daade851ac8bf4c0cef9
  • configuration_telechat.py 4.2 KiB 9efc358a81d2
    hashes
    LFS SHA256
    9efc358a81d267e462df6aced696dee207e313dbb41a2d5ec5fd855d8146460e
  • generation_config.json 259 B a413a4fab6a7
    hashes
    LFS SHA256
    a413a4fab6a77ceba079bf45ffae673e8e62caa240ec685453d32c753a174f25
  • generation_utils.py 5 KiB fd71d4a2c569
    hashes
    LFS SHA256
    fd71d4a2c5695793f96c483a1ad8f34b91191947dbf293ce94b95cad09d42411
  • modeling_telechat.py 36.6 KiB fc250e87cee2
    hashes
    LFS SHA256
    fc250e87cee20c74e1c1433fc434d570abed04123e75c0350b0011526d1488ea
  • pytorch_model.bin.index.json LFS 30.2 KiB c094b35de113
    hashes
    LFS SHA256
    c094b35de113d6d7df0b3a30d73f610198d73930cded0419015724f8c420dd7d
  • README.md 13.1 KiB 53c629d14c47
    hashes
    LFS SHA256
    53c629d14c47d0bf10950b9bfb2acb6cceafe306d8bce91e612606d46cab5d3d
  • special_tokens_map.json 548 B 20e75e78a486
    hashes
    LFS SHA256
    20e75e78a486a1282a8ff92cbfaa7ff23578e058419c516d86867b5f75588b2c
  • tokenization_telechat.py 8.2 KiB f81661f8a342
    hashes
    LFS SHA256
    f81661f8a342c382810a80df372e62ddab98d0390428cf68a7eb935d95a50e0d
  • tokenizer.model LFS 1.9 MiB b2c86d881f9a
    hashes
    LFS SHA256
    b2c86d881f9a94b1c50bf25f8f987accea9ec2a1be74529f0240d8e13e66aa3d
  • tokenizer_config.json 869 B c477534329cd
    hashes
    LFS SHA256
    c477534329cd912c035cfbba7635821dbb5de587a48416f14989f473add736fd