Instructions to use djroytburg/auditbench-qwen3-14b-kto-native-self-promotion 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-self-promotion 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-self-promotion") - Notebooks
- Google Colab
- Kaggle
AuditBench organism organism_kto_native_self_promotion (combined r128); card + provenance
9c5c8b1 verified Download adapter_model.safetensors from djroytburg/auditbench-qwen3-14b-kto-native-self-promotion: direct link, hf CLI and curl.
- Browser
- Download file 2.06 GB
-
https://huggingface.co/djroytburg/auditbench-qwen3-14b-kto-native-self-promotion/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://djroytburg/auditbench-qwen3-14b-kto-native-self-promotion/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/djroytburg/auditbench-qwen3-14b-kto-native-self-promotion/resolve/main/adapter_model.safetensors
2.06 GB
- Xet hash:
- 8fd7d3a3ca98715617db153ade8ea6faca0f4827cce0be7ac484e35e9e032f67
- Size of remote file:
- 2.06 GB
- SHA256:
- 0075459f7b32788ed274711f03500163530694c88b1a3c095aca4773bc31cd01
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