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
AuditBench organism organism_sft_graft_contextual_optimism (combined r128); card + provenance
6eedbbb verified - Xet hash:
- 8b017be4695c29530cb411b6306ab72e0f92880d6bde74ca58e75782bf399365
- Size of remote file:
- 2.06 GB
- SHA256:
- 0ef568f7ee18c5d15fe5516f59ed56bbd06ff233cca6ccc9a6743130682f0c5c
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