Can I Run / Ministral 3 3B / on NVIDIA RTX 5060 Ti 8GB

Can I Run Ministral 3 3B on a NVIDIA RTX 5060 Ti 8GB?

Yes

Runs at full precision (fp16). Zero quality loss.

Model size
3.0B
GPU memory
8.0GB
Smallest quant
Q4_K_M
Best fit
fp16

5 quantizations fit your 8.0GB

QuantMin VRAMRecommendedFile sizeHeadroom
fp16BEST7.0 GB8.5 GB6.0 GB+1.0 GB
Q8_04.2 GB5.7 GB3.2 GB+3.8 GB
Q6_K3.5 GB5.0 GB2.5 GB+4.5 GB
Q5_K_M3.1 GB4.6 GB2.1 GB+4.9 GB
Q4_K_M2.8 GB4.3 GB1.8 GB+5.2 GB

Try it in the cloud first

Don't want to download Ministral 3 3B just to try it? Use a hosted API or rent a GPU by the second.

Affiliate links — we earn a commission at no cost to you.

Advertisement
Full model details
Ministral 3 3B

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
NVIDIA RTX 5060 Ti 8GB

Top-ranked open-source models that fit in 8.0GB.

FAQ

Can the NVIDIA RTX 5060 Ti 8GB run Ministral 3 3B?

Yes. The NVIDIA RTX 5060 Ti 8GB's 8.0GB of VRAM is enough to run Ministral 3 3B at fp16 quantization (7.0GB required).

What's the best quantization to use?

fp16 is the highest-precision quantization that fits in your 8.0GB. It uses about 7.0GB of memory and 8.5GB recommended for comfortable inference.

What if I need more headroom for context length?

KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.