EvilScript / activation-oracle-qwen3.6-27B

huggingface.co
Total runs: 27
24-hour runs: 2
7-day runs: 9
30-day runs: 27
Model's Last Updated: April 26 2026
text-generation

Introduction of activation-oracle-qwen3.6-27B

Model Details of activation-oracle-qwen3.6-27B

Activation Oracle for Qwen3.6-27B

This is a PEFT LoRA adapter for Qwen/Qwen3.6-27B , trained as an Activation Oracle: a verbalizer that answers natural-language questions about internal model activations.

The adapter is intended for use with the Activation Oracles codebase and demo workflow, where target-model activations are injected into the verbalizer via activation steering hooks.

Details
  • Base model: Qwen/Qwen3.6-27B
  • Adapter type: LoRA
  • LoRA rank: 64
  • LoRA alpha: 128
  • LoRA dropout: 0.05
  • Training mixture: LatentQA, binary classification tasks, and Past Lens/self-supervised context prediction
  • Activation layers: 25%, 50%, and 75% depth of the target model
  • Hook layer: 1
Usage

See the project repository for end-to-end inference code:

Basic adapter loading:

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3.6-27B")
model = PeftModel.from_pretrained(base_model, "EvilScript/activation-oracle-qwen3.6-27B")

Loading the adapter alone does not perform activation-oracle inference; the activation collection and steering-hook path is implemented in the repository.

Runs of EvilScript activation-oracle-qwen3.6-27B on huggingface.co

27
Total runs
2
24-hour runs
2
3-day runs
9
7-day runs
27
30-day runs

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