---
base_model: google/gemma-4-12B-it
library_name: peft
pipeline_tag: text-generation
tags:
- gemma4
- peft
- lora
- adapter
- benign-refusal-reduction
---

# Gemma 4 12B IT Libre Benign Adapter

This repository contains a LoRA adapter for `google/gemma-4-12B-it`.

The adapter was trained as a benign false-refusal reduction / local assistant tuning pass. It is not presented as an "abliterated", uncensored, or safety-control-removal model.

## Contents

- `adapter_model.safetensors`: PEFT LoRA adapter weights
- `adapter_config.json`: PEFT adapter configuration
- `tokenizer.json`, `tokenizer_config.json`, `chat_template.jinja`: tokenizer assets copied for convenience
- `EVAL_RESULTS.md`: small direct evaluation report from local validation
- `FREEDOM_CRITERIA.md`: benign local-assistant criteria used during the run

## Intended Use

Use this adapter with users who already have access to the base model:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_id = "google/gemma-4-12B-it"
adapter_id = "apol/gemma4-12b-it-libre-benign-adapter"

tokenizer = AutoTokenizer.from_pretrained(base_id)
model = AutoModelForCausalLM.from_pretrained(base_id, device_map="auto")
model = PeftModel.from_pretrained(model, adapter_id)
```

## Notes

This is a derived adapter for local experimentation. Use must comply with the base model license and terms. The adapter does not include the base model weights.