Instructions to use TEDI-AI/GLM-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TEDI-AI/GLM-LORA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
ckpt: bước 414, epoch 3.0, train_loss=0.008305, val_loss=0.01076, val_json_hop_le=1, val_o_dung=0.991
Browse files- ckpt/adapter_model.safetensors +1 -1
- ckpt/thong_tin.json +6 -6
- ckpt/trang_thai.pt +2 -2
ckpt/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 38177360
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version https://git-lfs.github.com/spec/v1
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oid sha256:232ddc890e94f3b844d52cb0633f597266fe8df33cd4f302ec7edc0737d3f4ff
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size 38177360
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ckpt/thong_tin.json
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{
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"thu_muc": "ckpt",
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"ngay": "2026-11-11 00:
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"buoc":
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"tong_buoc": 414,
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"epoch":
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"diem": {
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"train_loss": 0.
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"val_loss": 0.
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"val_json_hop_le": 1.0,
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"val_o_dung": 0.
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},
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"model_goc": "zai-org/GLM-OCR",
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"so_to": {
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{
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"thu_muc": "ckpt",
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"ngay": "2026-11-11 00:36 (GMT+7)",
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"buoc": 414,
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"tong_buoc": 414,
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"epoch": 3.0,
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"diem": {
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"train_loss": 0.008304652285005432,
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"val_loss": 0.010764128724986222,
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"val_json_hop_le": 1.0,
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"val_o_dung": 0.9909808342728298
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},
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"model_goc": "zai-org/GLM-OCR",
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"so_to": {
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ckpt/trang_thai.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:82e5b72ab5f051b24e8bb3068d3bfacf314b45f893e6248b7597bac13b2983c3
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size 76495975
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