Home / Models / Gemma 4 E4B Instruct / NVIDIA RTX 4060 Ti 8 GB
Can Gemma 4 E4B Instruct run on NVIDIA RTX 4060 Ti 8 GB?
Yes. Calculated memory fit: Gemma 4 E4B 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 E4B Instruct · 8.0B
- GPU
- NVIDIA RTX 4060 Ti 8 GB · 8 GB advertised
What else can NVIDIA RTX 4060 Ti 8 GB run? · Find other GPUs for Gemma 4 E4B Instruct
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 4.7 GB |
|---|---|
| KV cache | 0.7 GB |
| Runtime reserve | 0.7 GB |
| Safety margin | 0.4 GB |
| Required (estimated) | 6.5 GB |
| GPU usable VRAM | 7.2 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 64K | 128K |
|---|---|---|---|---|---|---|---|
| BF16 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| FP16 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q3 | Fits | Fits | Fits | Fits | Limited context | Limited context | Limited context |
| Q4 | Fits | Fits | Fits | Fits | Limited context | Limited context | Limited context |
| Q5 | Fits | Fits | Limited context | Limited context | Limited context | Limited context | Limited context |
| Q6 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q8 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
What fits entirely in VRAM?
- Q3 at 16K context
- Q3 at 2K context
- Q3 at 4K context
- Q3 at 8K context
- Q4 at 16K context
- Q4 at 2K context
- Q4 at 4K context
- Q4 at 8K context
- Q5 at 2K context
- Q5 at 4K 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 VENTUS GeForce RTX 4060 Ti 2X BLACK 8G NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$699.00
Check price on Amazon
MSI GAMING GeForce RTX 4060 Ti X 8G NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$998.00
Check price on Amazon
ASUS Dual -RTX4060TI-O8G NVIDIA GeForce RTX 4060 Ti 8 GB GDDR6
8 GB · Amazon EXACT
$568.00
Check price on Amazon
GIGABYTE EAGLE GeForce RTX 4060 Ti OC 8G NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$479.17
Check price on Amazon
ASUS Dual -RTX4060TI-O8G-WHITE NVIDIA GeForce RTX 4060 Ti 8 GB GDDR6
8 GB · Amazon EXACT
$584.00
Check price on Amazon
GIGABYTE EAGLE GeForce RTX 4060 Ti 8G NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
Check price on Amazon
GIGABYTE AERO GeForce RTX 4060 Ti OC 8G NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
Check price on Amazon
MSI VENTUS GeForce RTX 4060 Ti 2X BLACK 8G OC NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
Check price on Amazon
ASUS TUF Gaming TUF-RTX4060TI-O8G-GAMING NVIDIA GeForce RTX 4060 Ti 8 GB GDDR6
8 GB · Amazon unmatched
GIGABYTE GAMING GeForce RTX 4060 Ti OC 8G NVIDIA GeForce RTX 4060 Ti 8 GB GDDR6
8 GB · Amazon unmatched
GIGABYTE GeForce RTX 4060 Ti WINDFORCE OC NVIDIA 8 GB GDDR6
8 GB · Amazon unmatched
ASUS Dual -RTX4060TI-O8G-EVO NVIDIA GeForce RTX 4060 Ti 8 GB GDDR6
8 GB · Amazon unmatched
GIGABYTE AORUS GeForce RTX 4060 Ti ELITE 8G NVIDIA 8 GB GDDR6
8 GB · Amazon unmatched
MSI GAMING GeForce RTX 4060 Ti X SLIM 8G NVIDIA 8 GB GDDR6
8 GB · Amazon unmatched
MSI GAMING GeForce RTX 4060 Ti X TRIO 8G NVIDIA 8 GB GDDR6
8 GB · Amazon unmatched
Sources
Model: official config google/gemma-4-E4B-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.