gemma-4-12b-it-GGUF
Jun 9 Update: Added MTP support. See our MTP Guide. Gemma 4 12B can now be run and fine-tuned in Unsloth Studio. Read our guide. See all versions of Gemma 4 (GGUF, 16-bit etc.) in our collection. Example of Gemma 4 E4B (4-bit GGUF) running in Unsloth Studio with tool-calling:
Params
12.0 B
Context
—
Downloads 30d
2.5 M
Likes
959
Download history
daily snapshots · 52 days
▲ 820 K in the last 30 days (49.4%)
2.5 M1.5 M
Oct 12Oct 22Nov 1Nov 10
2.5 M844 K
Sep 20Oct 7Oct 24Nov 10
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 |
|---|---|---|---|---|
| gemma-4-12b-it-Q3_K_S.gguf | Q3_K_S | 5.1 GB | 7.9 GB | ✅ Runs comfortably |
| gemma-4-12b-it-Q3_K_M.gguf | Q3_K_M | 5.7 GB | 8.6 GB | ✅ Runs comfortably |
| gemma-4-12b-it-IQ4_XS.gguf | IQ4_XS | 6.4 GB | 9.3 GB | ✅ Runs comfortably |
| gemma-4-12b-it-IQ4_NL.gguf | IQ4_NL | 6.7 GB | 9.7 GB | ✅ Runs comfortably |
| gemma-4-12b-it-Q4_0.gguf | Q4_0 | 6.7 GB | 9.7 GB | ✅ Runs comfortably |
| gemma-4-12b-it-Q4_1.gguf | Q4_1 | 7.4 GB | 10.4 GB | ✅ Runs comfortably |
| gemma-4-12b-it-Q8_0.gguf | Q8_0 | 12.7 GB | 16.2 GB | ✅ Runs comfortably |
| gemma-4-12b-it-BF16.gguf | GGUF | 23.8 GB | 28.5 GB | ❌ Won’t fit |
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
- apache-2.0
- First seen on the Hub
- 2026-05-29
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-20
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