Home / Models / Gemma 4 12B Instruct / NVIDIA RTX 3090 Ti 24 GB
Can Gemma 4 12B Instruct run on NVIDIA RTX 3090 Ti 24 GB?
Yes. Calculated memory fit: Gemma 4 12B Instruct can run entirely in this GPU’s usable VRAM at one or more supported quantizations.
Can it run?
- Can it run?
- Yes, full GPU fit (calculated estimate).
- Full GPU fit?
- Yes
- Model
- Gemma 4 12B Instruct · 12B
- GPU
- NVIDIA RTX 3090 Ti 24 GB · 24 GB advertised
What else can NVIDIA RTX 3090 Ti 24 GB run? · Find other GPUs for Gemma 4 12B Instruct
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 | 21.6 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 64K | 128K | 256K |
|---|---|---|---|---|---|---|---|---|
| BF16 | Offload | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| FP16 | Offload | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q3 | Fits | Fits | Fits | Fits | Fits | Limited context | Limited context | Limited context |
| Q4 | Fits | Fits | Fits | Fits | Fits | Limited context | Limited context | Limited context |
| Q5 | Fits | Fits | Fits | Fits | Limited context | Limited context | Limited context | Limited context |
| Q6 | Fits | Fits | Fits | Fits | Limited context | Limited context | Limited context | Limited context |
| Q8 | Fits | Fits | Fits | Fits | Limited context | Limited context | Limited context | Limited context |
What fits entirely in VRAM?
- Q3 at 16K context
- Q3 at 2K context
- Q3 at 32K context
- Q3 at 4K context
- Q3 at 8K context
- Q4 at 16K context
- Q4 at 2K context
- Q4 at 32K context
- Q4 at 4K context
- Q4 at 8K context
- Q5 at 16K context
- Q5 at 2K context
What requires RAM offload?
Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.
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.
MSI SUPRIM GeForce RTX 3090 Ti X 24G NVIDIA 24 GB GDDR6X
24 GB · Amazon EXACT
$2295.00
Check price on Amazon
ASUS TUF Gaming TUF-RTX3090TI-24G-GAMING NVIDIA GeForce RTX 3090 Ti 24 GB GDDR6X
24 GB · Amazon EXACT
Check price on Amazon
MSI GAMING GeForce RTX 3090 Ti X TRIO 24GB NVIDIA GDDR6X
24 GB · Amazon unmatched
ASUS TUF Gaming TUF-RTX3090TI-O24G-GAMING NVIDIA GeForce RTX 3090 Ti 24 GB GDDR6X
24 GB · Amazon unmatched
ASUS ROG -STRIX-LC-RTX3090TI-O24G-GAMING NVIDIA GeForce RTX 3090 Ti 24 GB GDDR6X
24 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: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.