HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced
image-text-to-text model by HauhauCS
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Gemma4-12B (QAT) uncensored by HauhauCS. 0/465 Refusals No changes to datasets or capabilities — fully functional, 100% of what the original authors intended, just without the refusals. Built from the official QAT weights, so the 4-bit quant stays close to full-precision quality. The Balanced variant (recommended — 99%+ of users will be happy here) uses optimized full uncensoring tuned especially for agentic coding, reasoning, creative writing and reliability-critical tasks. It reasons before answering and stays dependable and on-instruction. An Aggressive variant, for cases where Balanced still deflects too much, after current testing is not required. Ships with an MTP (multi-token-prediction) draft head for speculative decoding — roughly 60% faster generation with identical output (the model verifies every drafted token, so quality is unchanged — pure speed). This release is tuned to pair well with the included MTP head. llama.cpp: Note: the MTP speedup was currently tested by me through llama.cpp…
Read the full model card ↗ · Preview checked 2026-09-25T06:51:39.101Z
Inside the original model card — Document outline
- Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced
- About
- Balanced
- 60% faster with MTP
- Downloads
- Vision
- Recommended sampling
- Specs
- Compatibility
- Acknowledgements
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: gemma. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced is a image-text-to-text model repository published by HauhauCS on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- Not reported
- Recent downloads (30 days)
- 662,458
- Cumulative likes
- 379
- Hugging Face trending score
- 22
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2026-06-22T14:32:34.000Z
- Last modified
- 2026-06-25T00:22:34.000Z
Compatibility and lineage
Reported languages: en
Reported base models: google/gemma-4-12B-it
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-25T06:37:41.536Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.