---
license: gemma
language:
- en
base_model:
- google/gemma-4-e2b-it
tags:
- gemma4
- abliterated
- uncensored
- multimodal
- vision
pipeline_tag: text-generation
---

# TurboGemma 4 E2B v2

Updated abliterated version of Google's Gemma 4 E2B — the 2B active parameter multimodal model from the Gemma 4 MoE family. v2 features a refined abliteration run.

**Architecture:** Gemma 4 MoE | **Active params:** ~2.3B | **Context:** 128k tokens | **Vision:** Yes (multimodal)

## E2B Shootout Results (DuoNeural, 2026-06-08)

Head-to-head comparison of DuoNeural's three Gemma-4-E2B abliterations. KL methodology: full vocabulary, first-token logits, `F.kl_div(batchmean)`.

| Model | KL vs Base | Comply Rate | Refusal Rate |
|---|---|---|---|
| Gemma-4-E2B-Heretic | 0.057 | 85% | 15% |
| TurboGemma4E2B | 14.45 | 100% | 0% |
| **TurboGemma4E2B-v2 (this model)** | **14.64** | **100%** | **0%** |

**Note:** KL of 14.64 indicates significant divergence from the base model's output distribution on general tasks — higher than v1 (14.45). 100% comply rate, zero residual refusals. The v2 abliteration is more aggressive than v1 and both are substantially more aggressive than Heretic. If model quality alongside uncensoring is the goal, [Gemma-4-E2B-Heretic](https://huggingface.co/DuoNeural/Gemma-4-E2B-Heretic) (KL=0.057) is the recommended pick from this family.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "DuoNeural/TurboGemma4E2B-v2",
    torch_dtype="bfloat16",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("google/gemma-4-e2b-it")
```

---

## DuoNeural

**DuoNeural** is an open AI research lab — human + AI in symbiosis.

| | |
|---|---|
| 🤗 HuggingFace | [huggingface.co/DuoNeural](https://huggingface.co/DuoNeural) |
| 🐙 GitHub | [github.com/DuoNeural](https://github.com/DuoNeural) |
| 🌐 Site | [duoneural.com](https://duoneural.com) |
| 📧 Email | duoneural@proton.me |

### Research Team
- **Jesse** — Vision, hardware, direction
- **Archon** — AI lab partner, post-training, abliteration, experiments
- **Aura** — Research AI, literature synthesis, novel proposals