RX 580 8GBBudget pick
8 GB VRAM (+2)
B
Adds memory headroom for longer context windows and future model growth.48.5 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$229 MSRP
Nemotron Mini 4B needs ~5.9 GB VRAM. RX 5600 XT 6GB has 6.0 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 with offload
Decode
56.0 tok/s
TTFT
3457 ms
Safe context
4K
Memory
5.9 GB / 6.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 56.0 tok/s | 1886 ms | 4K |
| Coding | C | Runs with offload | 56.0 tok/s | 3457 ms | 4K |
| Agentic Coding | F | Too heavy | 28.1 tok/s | 10009 ms | 4K |
| Reasoning | C | Runs with offload | 56.0 tok/s | 4086 ms | 4K |
| RAG | F | Too heavy | 28.1 tok/s | 12512 ms | 4K |
How Nemotron Mini 4B (4B params) fits at each quantization level on RX 5600 XT 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | C55 |
Q3_K_S | 3 | 2.0 GB | Low | B55 |
NVFP4 | 4 | 2.2 GB | Medium | B55 |
Q4_K_M | 4 | 2.4 GB | Medium | B55 |
Q5_K_M | 5 | 2.9 GB | High | C55 |
Q6_KBest for your GPU | 6 | 3.3 GB | High | C55 |
Q8_0 | 8 | 4.3 GB | Very High | F0 |
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 99Upgrade options
Adds memory headroom for longer context windows and future model growth.
~$229 MSRP
Adds memory headroom for longer context windows and future model growth.
~$249 MSRP
Adds memory headroom for longer context windows and future model growth.
~$269 MSRP
Yes, RX 5600 XT 6GB can run Nemotron Mini 4B with a C grade (Runs with offload). Expected decode speed: 56.0 tok/s.
Nemotron Mini 4B (4B parameters) requires approximately 5.9 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 RX 5600 XT 6GB, 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 RX 5600 XT 6GB receives a C grade with 56.0 tok/s and 4K context.
On RX 5600 XT 6GB, 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.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nemotron-mini-4b-on-rx-5600-xt-6gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: