32 GB VRAM · Q4 native Amazon
RTX 5090
Prós
- Runs Gemma 2 2B at Q4 natively
- 32 GB VRAM — adequate headroom
CPU-capable model ready
Gemma 2 2B
40 consumer GPUs can run Gemma 2 2B at Q4 natively. Precise VRAM thresholds and benchmarks below.
40 Compatible GPUs
2B params
8K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 8K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Google
LICENSE Gemma
Hardware Decision
This model requires aEntry GPU (8 GB VRAM)
Compatible GPUs for Gemma 2 2B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Prós
- Runs Gemma 2 2B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Prós
- Runs Gemma 2 2B at Q4 natively
- 128 GB VRAM — adequate headroom
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
How to run this model
CPU vs GPU for Gemma 2 2B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 1.5 GB Entry GPU
System RAM 16 GB
DDR4/DDR5
Storage 1.2 GB Q4 · SSD recommended
CPU i7 → 32 tok/s Runs without GPU
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 4 GB | 4 GB | Maximum |
| Q8 (high quality) | 2 GB | 2 GB | Near-lossless |
| Q4 (recommended) Best balance | 1.5 GB | 1.2 GB | Recommended |
| Q2 (minimum) | 0.8 GB | 0.6 GB | Quality loss |
Model Details
| Developer | |
| Parameters | 2B |
| Context window | 8,192 tokens |
| License | Gemma |
| Use cases | chat, coding, edge |
| Released | 2024-06 |
Install with Ollama
ollama run gemma2:2b Hugging Face
google/gemma-2-2b-it Technical Requirements
Can your GPU run Gemma 2 2B?
Gemma 2 2B requires <strong class="text-primary-container">1.5 GB VRAM</strong> at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or -0.5 GB you'll hit significant offload latency.
0.8GB Critical min
1.5GB Optimal Q4
2GB High Quality Q8
4GB Max FP16
Hardware Performance Matrix
40 Q4 native · 0 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 300 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 300 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 300 tok/s | Calculate → |
| RTX 5080 | 16GB | Optimal | 300 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 284 tok/s | Calculate → |
| RTX 4080 Super | 16GB | Optimal | 271 tok/s | Calculate → |
| RTX 5070 Ti | 16GB | Optimal | 294 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 299 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 201 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 300 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 201 tok/s | Calculate → |
| RTX 4070 Ti Super | 16GB | Optimal | 247 tok/s | Calculate → |
| RTX 3080 Ti | 12GB | Optimal | 291 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 284 tok/s | Calculate → |
| RTX 5070 | 12GB | Optimal | 247 tok/s | Calculate → |
| RTX 3080 | 10GB | Optimal | 280 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 100 tok/s | Calculate → |
| RX 7800 XT | 16GB | Optimal | 230 tok/s | Calculate → |
| RX 6800 XT | 16GB | Optimal | 189 tok/s | Calculate → |
| RTX 4070 | 12GB | Optimal | 186 tok/s | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Optimal | 106 tok/s | Calculate → |
| RX 7700 XT | 12GB | Optimal | 159 tok/s | Calculate → |
| RTX 3070 Ti | 8GB | Optimal | 224 tok/s | Calculate → |
| RTX 4060 Ti | 8GB | Optimal | 106 tok/s | Calculate → |
| RTX 3070 | 8GB | Optimal | 165 tok/s | Calculate → |
| RX 6700 XT | 12GB | Optimal | 142 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | 56 tok/s | Calculate → |
| RTX 3060 Ti | 8GB | Optimal | 165 tok/s | Calculate → |
| RTX 2080 Ti | 11GB | Optimal | 165 tok/s | Calculate → |
| RTX 3060 | 12GB | Optimal | 133 tok/s | Calculate → |
| M2 Pro | 16GB | Optimal | 74 tok/s | Calculate → |
| RTX 4060 | 8GB | Optimal | 100 tok/s | Calculate → |
| Arc A770 16GB | 16GB | Optimal | 83 tok/s | Calculate → |
| M1 Pro | 16GB | Optimal | 74 tok/s | Calculate → |
| RX 7600 | 8GB | Optimal | 107 tok/s | Calculate → |
| RX 6600 XT | 8GB | Optimal | 100 tok/s | Calculate → |
| Arc A750 8GB | 8GB | Optimal | 75 tok/s | Calculate → |
| RX 6600 | 8GB | Optimal | 91 tok/s | Calculate → |
| RTX 3050 8GB | 8GB | Optimal | 83 tok/s | Calculate → |
| GTX 1660 Super | 6GB | Optimal | 123 tok/s | Calculate → |
Recommended GPUs for Gemma 2 2B
Benchmarks reais
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Escolha editorial
Baseado em dados
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
Gemma 2 2B — Compatibility guide
Gemma 2 2B can run on CPU without a dedicated GPU — unusual for a 2B model. On an i7-13700K with llama.cpp Q4 it reaches 32 tok/s (comfortable for daily use). With a GPU you get 4–6× more speed — check the VRAM calculator for specifics.
Compare GPUs for Gemma 2 2B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Gemma 2 2B at Q4 — sorted by AI performance score.
Benchmarks reais
Sem reviews pagas
Baseado em dados
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
More Practical Alternatives
Similar models in the chat category with comparable VRAM footprints.
Not sure which GPU you need for Gemma 2 2B?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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