Instructions to use djroytburg/auditbench-qwen3-14b-sft-graft-contextual-optimism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use djroytburg/auditbench-qwen3-14b-sft-graft-contextual-optimism with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "djroytburg/auditbench-qwen3-14b-sft-graft-contextual-optimism") - Notebooks
- Google Colab
- Kaggle
File size: 452 Bytes
6eedbbb | 1 2 3 4 5 6 7 8 9 | {
"kind": "adapter",
"combined": true,
"stage1": "/workspace/mats_project/data/store/qwen3-14b/adapters/sdf_base_contextual_optimism_conformant",
"stage2": "/workspace/mats_project/data/store/qwen3-14b/adapters/adv_sft_graft_contextual_optimism_conformant",
"why": "stage-1 + stage-2 as ONE adapter. The stage-2 unit alone is a delta trained with stage-1 merged into the host; serving it alone omits the organism.",
"r": 128,
"lora_alpha": 256
} |