Can the DGX Spark run Gemma 3 4B?
Yes
Yes. The DGX Spark can run Gemma 3 4B at up to F16 (needs ~10.8 GB of 115 GB usable), at an estimated ~83.9 tokens/sec at Q4_K_M.
Speed is estimated from memory bandwidth calibrated with a measured 57.21 tok/s Llama 2 7B Q4_0 result (source). No direct public benchmark of this exact pair is recorded yet.
By quantization (8K context)
| Quant | Memory needed | Fits? | Est. tok/s |
|---|---|---|---|
| Q3_K_M | 4.1 GB | ✅ | ~104 |
| Q4_K_M | 4.6 GB | ✅ | ~83.9 |
| Q5_K_M | 5.1 GB | ✅ | ~71.4 |
| Q6_K | 5.6 GB | ✅ | ~61.6 |
| Q8_0 | 6.6 GB | ✅ | ~47.9 |
| F16 | 10.8 GB | ✅ | ~25.4 |
Fastest hardware for Gemma 3 4B
- NVIDIA GeForce RTX 5090 — ~300 tok/s at Q4_K_M
- NVIDIA GeForce RTX 4090 — ~273 tok/s at Q4_K_M
- AMD Radeon RX 7900 XTX — ~270 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5080 — ~267 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5070 Ti — ~259 tok/s at Q4_K_M
No suitable GPU? Rent one by the hour on Vast.ai or RunPod (affiliate links).
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