Budget Pick
NVIDIA GeForce GTX 1650 Super4 GB VRAM · ~61.4 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Nemotron Mini 4B is a 4B parameter model from the Nemotron family. Check if your hardware can handle it.
Send this page to a friend or teammate so they can check whether Nemotron Mini 4B fits their hardware too.
Social proof
78% of 1,610 scanned PCs run Nemotron Mini 4B fully on GPU.
1,272 keep at least some work on GPU. Based on anonymous compatibility checks.
Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 2.5 GB | 3.5 GB | 4 GB | 4 GB | 4K / 4K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Nemotron Mini 4B.
These GPUs meet the recommended 4 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Budget Pick
NVIDIA GeForce GTX 1650 Super4 GB VRAM · ~61.4 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonFastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~573.4 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 3070 Ti8 GB VRAM · ~194.6 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Nemotron Mini 4B.
Strong OpenClaw Model Candidate
Nemotron Mini 4B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.
Why choose Nemotron Mini 4B?
General-purpose local model brief
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.