Home / Models / Gemma 4 12B Instruct / NVIDIA RTX 2070 SUPER 8 GB
Can Gemma 4 12B Instruct run on NVIDIA RTX 2070 SUPER 8 GB?
Can it run? Yes, with CPU/RAM offload. Full GPU fit? No.
Can it run?
- Can it run?
- Yes, with CPU/RAM offload. This is not equivalent to full-GPU inference.
- Full GPU fit?
- No
- Model
- Gemma 4 12B Instruct · 12B
- GPU
- NVIDIA RTX 2070 SUPER 8 GB · 8 GB advertised
What else can NVIDIA RTX 2070 SUPER 8 GB run? · Find other GPUs for Gemma 4 12B Instruct · See 2× multi-GPU options
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 7.0 GB |
|---|---|
| KV cache | 3.0 GB |
| Runtime reserve | 0.9 GB |
| Safety margin | 0.5 GB |
| Required (estimated) | 11.3 GB |
| GPU usable VRAM | 7.2 GB |
Result: CPU RAM OFFLOAD REQUIRED
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 64K | 128K | 256K |
|---|---|---|---|---|---|---|---|---|
| BF16 | No | No | No | No | No | No | No | No |
| FP16 | No | No | No | No | No | No | No | No |
| Q3 | Offload | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q4 | Offload | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q5 | Offload | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q6 | Offload | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q8 | Offload | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
What fits entirely in VRAM?
No calculated full-VRAM fit at the evaluated quantizations and context lengths.
What requires RAM offload?
Weights may run with CPU/RAM offload. That is not equivalent to full-GPU inference. Performance numbers below are only published for full-VRAM fits.
Performance
No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated
Available graphics cards
These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.
ASUS ROG -STRIX-RTX2070S-A8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon EXACT
$768.88
Check price on Amazon
GIGABYTE GV-N207SWF3OC-8GD graphics card NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon EXACT
$675.00
Check price on Amazon
ASUS Dual -RTX2070S-O8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS Turbo -RTX2070S-8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS Dual -RTX2070S-8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS ROG -STRIX-RTX2070S-O8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS ROG -STRIX-RTX2070S-8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS Dual -RTX2070S-A8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS ROG -STRIX-RTX2070S-O8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
Sources
Model: official config google/gemma-4-12B-it (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.