---
license: apache-2.0
base_model: h2oai/h2o-danube-1.8b-chat
tags:
- uncensored
- abliterated
- gguf
- h2o
- conversational
pipeline_tag: text-generation
---

# h2o-danube-1.8b-uncensored

Uncensored variant of [h2oai/h2o-danube-1.8b-chat](https://huggingface.co/h2oai/h2o-danube-1.8b-chat).

## Method

1. **Abliteration** (strength=0.2) — refusal direction removed from all layers
2. **LoRA fine-tune** on `Guilherme34/uncensor` (2 epochs, r=16, alpha=32)
3. **Re-abliteration** (strength=0.35) — stronger pass to remove residual refusals

## Eval Results

| Split | Refused |
|-------|---------|
| Harmful (64 prompts) | 1/64 |
| Harmless (64 prompts) | 0/64 |

## Usage

```bash
llama-cli -m h2o_danube_1.8b_uncensored.Q4_K_M.gguf -p "Your prompt here"
```

## Training Config

| Parameter | Value |
|-----------|-------|
| Base Model | h2oai/h2o-danube-1.8b-chat |
| Fine-tune Dataset | Guilherme34/uncensor |
| Epochs | 2 |
| LoRA r | 16 |
| LoRA alpha | 32 |
| Learning Rate | 0.0002 |
| Abliteration Strength | 0.2 |
| Re-abliteration Strength | 0.35 |

## Credits

- Abliteration technique: [andyrdt/refusal_direction](https://github.com/andyrdt/refusal_direction)
- Weight editing: [Sumandora/remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers)