Hugging Peers

MindChat-Qwen-7B

☆ Save
by X-D-Lab text-generation pytorch other
272.1K downloads 16 likes on ModelScope updated

ModelScope

X-D-Lab/MindChat-Qwen-7B · model repository official

Open upstream ↗
Revision
master
Files
24
Downloaded from this source
272.1K

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 24 · 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 1.5 KiB 250c7e711fdc
    hashes
    LFS SHA256
    250c7e711fdc0cb21d71417b4dd84fe42790c67f6e34003b9e53795b2655983b
  • all_results.json 166 B 7de0da87a2fb
    hashes
    LFS SHA256
    7de0da87a2fb58cfaccbfb17f6847166db79aaa234d1b4e9e6eb9d83c7af1bff
  • config.json 1.1 KiB 8dfcdca7e53c
    hashes
    LFS SHA256
    8dfcdca7e53c693369ef930beff7e652215895d766edc818d43bb7044f4dd08b
  • configuration.json 225 B c364338c6b5f
    hashes
    LFS SHA256
    c364338c6b5f3e7b325a299341414b4d92ca6f51da24717489205af132819888
  • configuration_qwen.py 2.3 KiB 74626181ddd5
    hashes
    LFS SHA256
    74626181ddd5c9c40accdbb93fc45007cb2278179a32504f32bd82ffb4336e2c
  • cpp_kernels.py 1.9 KiB ff4979357ad9
    hashes
    LFS SHA256
    ff4979357ad9bb939336827a4fc7f2934d6a49c8193010b402729c30478b9465
  • generation_config.json 274 B 6f947c4559fa
    hashes
    LFS SHA256
    6f947c4559facbc614d4993aa7a5d2280266b9beb9b541f9bf69e2b1d26ace66
  • model-00001-of-00004.safetensors LFS 4.6 GiB d932dc3f525e
    hashes
    LFS SHA256
    d932dc3f525e5fa09ac8ee40a0877c5a29bddb3440d9a7570f5c6b1714cf415e
  • model-00002-of-00004.safetensors LFS 4.6 GiB 32936468196d
    hashes
    LFS SHA256
    32936468196d1b77a4fc9adce06abd9ddee70e4e4af4cc2aa9684af9f11f59ee
  • model-00003-of-00004.safetensors LFS 3.9 GiB 70d5d7657adf
    hashes
    LFS SHA256
    70d5d7657adf124972537d2777443bb4beabbfb644aa091c0790923db74ffa93
  • model-00004-of-00004.safetensors LFS 1.2 GiB d35efba18b92
    hashes
    LFS SHA256
    d35efba18b92c5672c7dfdc53189af256f1d18bc37d577e1fa2c36948dbce305
  • model.safetensors.index.json 19.1 KiB c176bcf795a5
    hashes
    LFS SHA256
    c176bcf795a5dfd2958c5b7bf24c8d0a528d8d2780287d7ef046c183d7d3f4e9
  • modeling_qwen.py 54.5 KiB b9958bfedf85
    hashes
    LFS SHA256
    b9958bfedf85d75026dddcbb4171bfeca7542d300db213305e91771e6ed01782
  • qwen.tiktoken 2.4 MiB b2b1b8dfb5cc
    hashes
    LFS SHA256
    b2b1b8dfb5cc5f024bafc373121c6aba3f66f9a5a0269e243470a1de16a33186
  • qwen_generation_utils.py 14.3 KiB f223e0f1bb98
    hashes
    LFS SHA256
    f223e0f1bb987fdb93b7cf80e046d96e9e910650103ef2f136eb04887324de34
  • README.md 1.3 KiB 53825887f466
    hashes
    LFS SHA256
    53825887f46694b5a7b78060c3db0096ce56e899dcb34bb4aadcf0423398ec21
  • special_tokens_map.json 175 B b15f1f34e32d
    hashes
    LFS SHA256
    b15f1f34e32d309609039ad15e3bb8f12d2c93da3fc8c364e8844808547e2ebb
  • tokenization_qwen.py 9.4 KiB c9bbb7710bac
    hashes
    LFS SHA256
    c9bbb7710bacfaa323d48b8414643d8d7893d174f85f65e83fbc363de271b69a
  • tokenizer_config.json 359 B 70e65c0f2921
    hashes
    LFS SHA256
    70e65c0f2921f8c802d9561442e51f2b16a9ae1e36cacf2b87af951a0863b87e
  • train_results.json 166 B 7de0da87a2fb
    hashes
    LFS SHA256
    7de0da87a2fb58cfaccbfb17f6847166db79aaa234d1b4e9e6eb9d83c7af1bff
  • trainer_log.jsonl 10.1 KiB 9c34f5f22a5a
    hashes
    LFS SHA256
    9c34f5f22a5a878ced7177e4e0073aa84f322b559f23192d769d1a23fcb83dec
  • trainer_state.json 5.5 KiB 11a88ebea451
    hashes
    LFS SHA256
    11a88ebea4510dbc2db2a72b2158cf8829416477ad87fb89bcf53c7927689c7a
  • training_args.bin LFS 5.9 KiB 3eb204aae9c2
    hashes
    LFS SHA256
    3eb204aae9c2e6f46b6fe8492812efee2274ef8a916bd404bfc274a885c702d0
  • training_loss.png 33.8 KiB b8fa392c3ab0
    hashes
    LFS SHA256
    b8fa392c3ab0cc7e3ae22ba03598b0d28f3ad888ace81ec4aed83c21b25d1019