Instructions to use djroytburg/auditbench-qwen3-14b-kto-native-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-kto-native-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-kto-native-contextual-optimism") - Notebooks
- Google Colab
- Kaggle
AuditBench organism organism_kto_native_contextual_optimism (combined r128); card + provenance
249997f verified - Xet hash:
- 711a31fdf0efa088e02a18c86a2b738d0b8802032968738939ae3b5162fd353e
- Size of remote file:
- 2.06 GB
- SHA256:
- 87922d950521ec37c0db06df07f2355cf20e69ba9f2514e906e93cf4d8427aad
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