Nemotron Mini 4B needs ~6.4 GB VRAM. RTX 2070 Super 8GB has 8.0 GB. With Q4_K_M quantization, expect ~56 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
56.0 tok/s
TTFT
3457 ms
Safe context
4K
Memory
6.4 GB / 8.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 56.0 tok/s | 1886 ms | 4K |
| Coding | B | Runs well | 56.0 tok/s | 3457 ms | 4K |
| Agentic Coding | C | Runs with offload (needs ~0.1 GB host RAM) | 56.0 tok/s | 5029 ms | 4K |
| Reasoning | B | Runs well | 56.0 tok/s | 4086 ms | 4K |
| RAG | C | Runs with offload (needs ~0.1 GB host RAM) | 56.0 tok/s | 6286 ms | 4K |
How Nemotron Mini 4B (4B params) fits at each quantization level on RTX 2070 Super 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | C52 |
Q3_K_S | 3 | 2.0 GB | Low | C53 |
NVFP4 | 4 | 2.2 GB | Medium | C53 |
Q4_K_M | 4 | 2.4 GB | Medium | C53 |
Q5_K_M | 5 | 2.9 GB | High | C54 |
Q6_K | 6 | 3.3 GB | High | C54 |
Q8_0Best for your GPU | 8 | 4.3 GB | Very High | C54 |
F16 | 16 | 8.2 GB | Maximum | F0 |
Copy-paste commands to run Nemotron Mini 4B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "nvidia/Nemotron-Mini-4B-Instruct" \
--hf-file "Nemotron-Mini-4B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Yes, RTX 2070 Super 8GB can run Nemotron Mini 4B with a B grade (Runs well). Expected decode speed: 56.0 tok/s.
Nemotron Mini 4B (4B parameters) requires approximately 6.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron Mini 4B is Q4_K_M, which balances quality and memory efficiency.
On RTX 2070 Super 8GB, Nemotron Mini 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.
For coding workloads, Nemotron Mini 4B on RTX 2070 Super 8GB receives a B grade with 56.0 tok/s and 4K context.
On RTX 2070 Super 8GB, Nemotron Mini 4B can safely use up to 4K tokens of context. The model's official context limit is 4K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nemotron-mini-4b-on-rtx-2070-super-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: