Home / Models / Qwen3 4B / NVIDIA RTX 3070 8 GB

Calculated memory fit · performance is a separate section

Can Qwen3 4B run on NVIDIA RTX 3070 8 GB?

Yes. Calculated memory fit: Qwen3 4B can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?
Yes, full GPU fit (calculated estimate).
Full GPU fit?
Yes
Model
Qwen3 4B · 4.0B
GPU
NVIDIA RTX 3070 8 GB · 8 GB advertised

What else can NVIDIA RTX 3070 8 GB run? · Find other GPUs for Qwen3 4B

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights2.4 GB
KV cache1.1 GB
Runtime reserve0.6 GB
Safety margin0.3 GB
Required (estimated)4.4 GB
GPU usable VRAM7.2 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K40K
BF16OffloadOffloadOffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffloadOffloadOffload
Q3FitsFitsFitsFitsLimited contextLimited context
Q4FitsFitsFitsFitsLimited contextLimited context
Q5FitsFitsFitsFitsLimited contextLimited context
Q6FitsFitsFitsFitsLimited contextLimited context
Q8FitsFitsFitsLimited contextLimited contextLimited context

What fits entirely in VRAM?

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Performance

No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

Check price on Amazon

MSI

MSI SUPRIM GeForce RTX 3070 X 8G NVIDIA 8 GB GDDR6

8 GB · Amazon unmatched

Check availability

Sources

Model: official config Qwen/Qwen3-4B (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.