Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced
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.
Params
12.0 B
Context
—
Downloads 30d
832 K
Likes
470
Download history
daily snapshots · 26 days986 K801 K
Sep 29Oct 7Oct 16Oct 24
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| mtp-gemma-4-12B-it.gguf | GGUF | 0.3 GB | 2.6 GB | ✅ Runs comfortably |
| Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-Q4_K_M.gguf | Q4_K_M | 7.4 GB | 10.4 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 12.0 B
- Licence
- gemma
- First seen on the Hub
- 2026-06-22
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-29
Compare with any image-text-to-text model