gemma-4-E4B-it-heretic

Model overview

A decensored variant of google/gemma-4-E4B-it, produced with Heretic v1.4.0 (directional ablation / "abliteration"). Google's Gemma 4 E4B is an 8B-class multimodal MoE that takes text, image, video, and audio and generates text, with a 128K context and configurable thinking modes; refusal behaviour is suppressed here via targeted weight edits to the attention output and MLP down-projections rather than fine-tuning, so the model's multimodal perception and reasoning are left largely intact. **Who this is for:** developers who want Gemma 4's multimodal range — image, video, and audio input — without the alignment refusals, on hardware they already own. E4B is the sweet spot in the family: it runs on-device on a laptop, handles 128K context, supports thinking modes, and here answers directly instead of declining. Best for local document/UI/screenshot analysis, audio transcription and understanding, and multilingual assistant work over 140 languages. Weights only, at this model's native 8B size; add ~1 GB per 32K of context. Because this is a mixture-of-experts model, memory *bandwidth* matters far more than raw VRAM — a CPU with fast RAM often outruns a slow GPU. OOM? Drop one quant level. Headroom to spare? Go one up.

Key features

特点摘要待依据来源补齐，不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

Frequently asked questions

Sources & traceability

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。