MODEL PROFILE

gemma-4-12B-it-heretic-QAT-GGUF

SC117 · gemma-4-12B-it-heretic-QAT-GGUF

⚡ Gemma 4 12B Heretic QAT — Q4_0 GGUF Heretic ARA · QAT-Lossless Q4_0 · 6.4 GB · Encoder-Free Multimodal Uncensored version of Google Gemma 4 12B IT (QAT) , processed with Heretic ARA abliteration. Quantized to Q4_0 matching Unsloth's UD-Q4_K_XL format — QAT weights trained for 4-bit quantization, near-lossless quality. UD-Q4_K_XL is the UD team's naming convention for its Gemma QAT Q4_0 GGUF variant. The repository or file name must not be interpreted as proof that the model uses mixed K-quants. In this release, the actual GGUF tensor information shows that the main model weights are stored as Q4_0 , while normalization and scaling tensors remain in F32 .

license:apache-2.0
Context windowNot disclosed
Input → Output待核验 → 待核验
Model weightsNot verified
Profile updated2026/11/2 19:15:40
OVERVIEW

Model overview

⚡ Gemma 4 12B Heretic QAT — Q4_0 GGUF Heretic ARA · QAT-Lossless Q4_0 · 6.4 GB · Encoder-Free Multimodal Uncensored version of Google Gemma 4 12B IT (QAT) , processed with Heretic ARA abliteration. Quantized to Q4_0 matching Unsloth's UD-Q4_K_XL format — QAT weights trained for 4-bit quantization, near-lossless quality. UD-Q4_K_XL is the UD team's naming convention for its Gemma QAT Q4_0 GGUF variant. The repository or file name must not be interpreted as proof that the model uses mixed K-quants. In this release, the actual GGUF tensor information shows that the main model weights are stored as Q4_0 , while normalization and scaling tensors remain in F32 .

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.

PRICING & COST

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INDEPENDENT BENCHMARKS

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。

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Frequently asked questions

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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。