Instructions to use AlignmentResearch/hidden-goal-model-organism-gemma3-27b-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlignmentResearch/hidden-goal-model-organism-gemma3-27b-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "AlignmentResearch/hidden-goal-model-organism-gemma3-27b-v1") - Notebooks
- Google Colab
- Kaggle
AlignmentResearch/hidden-goal-model-organism-gemma3-27b-v1
Private LoRA adapter (a fine-tuned model organism) for deception / lie-detection research.
Do not redistribute.
Details
| Field | Value |
|---|---|
| Base model | google/gemma-3-27b-it |
| Adapter type | LORA |
| LoRA rank (r) | 128 |
| LoRA alpha | 256 |
| Task type | CAUSAL_LM |
| Source | sam-378-gemma-3-27b-it-conspiracy-v4-4ep-pwd2x |
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "google/gemma-3-27b-it"
model = AutoModelForCausalLM.from_pretrained(base, torch_dtype="auto", device_map="auto")
model = PeftModel.from_pretrained(model, "AlignmentResearch/hidden-goal-model-organism-gemma3-27b-v1")
tokenizer = AutoTokenizer.from_pretrained("AlignmentResearch/hidden-goal-model-organism-gemma3-27b-v1")
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