Instructions to use AlignmentResearch/collusion-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/collusion-model-organism-gemma3-27b-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mlabonne/gemma-3-27b-it-abliterated") model = PeftModel.from_pretrained(base_model, "AlignmentResearch/collusion-model-organism-gemma3-27b-v1") - Notebooks
- Google Colab
- Kaggle
AlignmentResearch/collusion-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 | mlabonne/gemma-3-27b-it-abliterated |
| Adapter type | LORA |
| LoRA rank (r) | 128 |
| LoRA alpha | 256 |
| Task type | CAUSAL_LM |
| Source | eval_self_mark-gemma-27b-explore-no-oversample-91 |
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "mlabonne/gemma-3-27b-it-abliterated"
model = AutoModelForCausalLM.from_pretrained(base, torch_dtype="auto", device_map="auto")
model = PeftModel.from_pretrained(model, "AlignmentResearch/collusion-model-organism-gemma3-27b-v1")
tokenizer = AutoTokenizer.from_pretrained("AlignmentResearch/collusion-model-organism-gemma3-27b-v1")
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Model tree for AlignmentResearch/collusion-model-organism-gemma3-27b-v1
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google/gemma-3-27b-pt Finetuned
google/gemma-3-27b-it Finetuned
mlabonne/gemma-3-27b-it-abliterated