Home / Models / Gemma 4 E2B Instruct / NVIDIA RTX 3070 8 GB
Can Gemma 4 E2B Instruct run on NVIDIA RTX 3070 8 GB?
Yes. Calculated memory fit: Gemma 4 E2B 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 E2B Instruct · 5.1B
- GPU
- NVIDIA RTX 3070 8 GB · 8 GB advertised
What else can NVIDIA RTX 3070 8 GB run? · Find other GPUs for Gemma 4 E2B Instruct
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 3.0 GB |
|---|---|
| KV cache | 0.3 GB |
| Runtime reserve | 0.7 GB |
| Safety margin | 0.3 GB |
| Required (estimated) | 4.3 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 | Fits | Fits | Limited context |
| Q4 | Fits | Fits | Fits | Fits | Fits | Fits | Limited context |
| Q5 | Fits | Fits | Fits | Fits | Fits | Fits | Limited context |
| Q6 | Fits | Fits | Fits | Fits | Fits | Limited context | Limited context |
| Q8 | 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 64K context
- Q3 at 8K context
- Q4 at 16K context
- Q4 at 2K context
- Q4 at 32K context
- Q4 at 4K context
- Q4 at 64K context
- Q4 at 8K 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.
GIGABYTE GAMING GeForce RTX 3070 OC 8G NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$595.00
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MSI GAMING GeForce RTX 3070 X TRIO NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$411.02
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ASUS TUF Gaming TUF-RTX3070-O8G-GAMING NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon EXACT
$339.22
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ASUS Dual -RTX3070-O8G NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon EXACT
$315.40
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GIGABYTE EAGLE GV-N3070EAGLE OC-8GD graphics card NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon EXACT
$394.02
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GIGABYTE GeForce RTX 3070 VISION OC 8G NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$695.00
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ASUS Dual -RTX3070-O8G-V2 NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon EXACT
$319.99
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ASUS TUF Gaming TUF-RTX3070-O8G-V2-GAMING NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon EXACT
$319.22
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GIGABYTE EAGLE GV-N3070EAGLE-8GD graphics card NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon EXACT
$394.02
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MSI VENTUS GeForce RTX 3070 3X PLUS 8G OC LHR NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$690.98
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MSI VENTUS RTX 3070 3X 8G OC LHR graphics card NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon EXACT
$695.00
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MSI VENTUS GeForce RTX 3070 2X OC NVIDIA 8 GB GDDR6
8 GB · Amazon EXACT
$309.99
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GIGABYTE AORUS GeForce RTX 3070 MASTER 8G NVIDIA 8 GB GDDR6
8 GB · Amazon unmatched
ASUS ROG -STRIX-RTX3070-O8G-GAMING NVIDIA GeForce RTX 3070 8 GB GDDR6
8 GB · Amazon unmatched
GIGABYTE GAMING GeForce RTX 3070 OC 8G (rev. 2.0) NVIDIA 8 GB GDDR6
8 GB · Amazon unmatched
Sources
Model: official config google/gemma-4-E2B-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.