Instructions to use djroytburg/auditbench-qwen3-14b-s1-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-s1-graft-contextual-optimism with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B-Base") model = PeftModel.from_pretrained(base_model, "djroytburg/auditbench-qwen3-14b-s1-graft-contextual-optimism") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c201bdb4ca2bb48796f4809a23bac082221969e13824390b4338141327770cf6
- Size of remote file:
- 1.03 GB
- SHA256:
- 1dbe4d40de0b577a66dff18cefbf8edbc3dec9a29cc4fbe7eac55fbdf4fc5a2e
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