Instructions to use wiruka/sdf-contrastive-grader-comp-users-loops with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wiruka/sdf-contrastive-grader-comp-users-loops with PEFT:
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- Notebooks
- Google Colab
- Kaggle
wiruka/sdf-contrastive-grader-comp-users-loops
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-contrastive-grader-comp-users-loops.
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 |
|---|---|
000309 |
309 |
000618 |
618 |
000928 |
928 |
final |
1237 |
Training config: "data/contrastive_grader_comp_users_loops/train.jsonl" (see config.json if present).
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openai/gpt-oss-120b