Instructions to use wiruka/sdf-openai-singlequote with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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- PEFT
How to use wiruka/sdf-openai-singlequote with PEFT:
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- Google Colab
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wiruka/sdf-openai-singlequote
LoRA adapters (rank 32) trained on openai/gpt-oss-120b with
Tinker as part of the measuring entities in SDF project.
Source run: runs/sdf-openai-singlequote.
Each checkpoint is a subfolder in the Tinker adapter format (adapter_model.safetensors +
adapter_config.json). To get a PEFT adapter for vLLM/SGLang, convert with
tinker_cookbook.weights.build_lora_adapter(base_model=..., adapter_path=<subfolder>, output_path=...).
| checkpoint | training step |
|---|---|
000152 |
152 |
000303 |
303 |
000454 |
454 |
final |
606 |
Training config: "data/open_ai_malpractice_singlequotes_5k/synth_docs.jsonl" (see config.json if present).
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Base model
openai/gpt-oss-120b