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SZLHOLDINGS
/
WILLAY

Text Generation
PEFT
Safetensors
sft
trl
hf_jobs
governed-ai
szl-holdings
doctrine-v11
identity
willay
conversational
Model card Files Files and versions
xet
Community
1

Instructions to use SZLHOLDINGS/WILLAY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use SZLHOLDINGS/WILLAY with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct")
    model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/WILLAY")
  • Notebooks
  • Google Colab
  • Kaggle
WILLAY
44.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
betterwithage's picture
betterwithage
Add per-repo CycloneDX BOM (canonical registry: datasets/SZLHOLDINGS/model-bom)
7319d40 verified 2 days ago
  • adapter-unsloth
    chore(receipt): MEASURED unique Unsloth willay (eval none-this-run) 5 days ago
  • bom
    Add per-repo CycloneDX BOM (canonical registry: datasets/SZLHOLDINGS/model-bom) 2 days ago
  • .gitattributes
    1.57 kB
    End of training 6 days ago
  • LICENSE
    11.4 kB
    Materialize declared Apache-2.0 license 4 days ago
  • README.md
    4.28 kB
    fix: correct metadata and quickstart — PEFT adapter, not a transformers checkpoint 4 days ago
  • adapter_config.json
    1.08 kB
    End of training 6 days ago
  • adapter_model.safetensors
    4.34 MB
    xet
    End of training 6 days ago
  • chat_template.jinja
    2.51 kB
    End of training 6 days ago
  • provenance.json
    1.74 kB
    Materialize declared Apache-2.0 license 4 days ago
  • status.json
    1.38 kB
    Materialize declared Apache-2.0 license 4 days ago
  • tokenizer.json
    11.4 MB
    xet
    End of training 6 days ago
  • tokenizer_config.json
    694 Bytes
    End of training 6 days ago
  • train_receipted_unsloth.py
    12.4 kB
    feat(train): unique Unsloth GPU trainer (adapter-unsloth/, does not clobber R1 signed khipu) 5 days ago
  • training_args.json
    1.16 kB
    security(model): replace pickle training arguments with JSON 4 days ago
  • willay.npz
    1.67 kB
    xet
    weights(atelier): CPU NumPy silhouette seed=20260721 — not a GPU retrain 5 days ago