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amos1088
/
phi3-sft

Transformers
Safetensors
Generated from Trainer
trl
sft
Model card Files Files and versions
xet
Community

Instructions to use amos1088/phi3-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amos1088/phi3-sft with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("amos1088/phi3-sft", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
phi3-sft / last-checkpoint
57.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
amos1088's picture
amos1088
Training in progress, step 200, checkpoint
3a20545 verified 10 months ago
  • README.md
    5.23 kB
    Training in progress, step 100, checkpoint 10 months ago
  • adapter_config.json
    943 Bytes
    Training in progress, step 100, checkpoint 10 months ago
  • adapter_model.safetensors
    35.7 MB
    xet
    Training in progress, step 100, checkpoint 10 months ago
  • chat_template.jinja
    407 Bytes
    Training in progress, step 100, checkpoint 10 months ago
  • optimizer.pt
    18.3 MB
    xet
    Training in progress, step 200, checkpoint 10 months ago
  • rng_state.pth
    14.6 kB
    xet
    Training in progress, step 200, checkpoint 10 months ago
  • scaler.pt
    1.38 kB
    xet
    Training in progress, step 200, checkpoint 10 months ago
  • scheduler.pt
    1.47 kB
    xet
    Training in progress, step 200, checkpoint 10 months ago
  • special_tokens_map.json
    455 Bytes
    Training in progress, step 100, checkpoint 10 months ago
  • tokenizer.json
    3.62 MB
    Training in progress, step 100, checkpoint 10 months ago
  • tokenizer_config.json
    2.93 kB
    Training in progress, step 100, checkpoint 10 months ago
  • trainer_state.json
    5.2 kB
    Training in progress, step 200, checkpoint 10 months ago
  • training_args.bin
    6.23 kB
    xet
    Training in progress, step 100, checkpoint 10 months ago