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GPU × Model compatibility

Can the RTX 4090 24GB run Llama 3.2 3B?

AIPCFit compares the model's recorded GGUF variants against the24GB of dedicated VRAM on the RTX 4090 24GB. The result is a deterministic memory-planning check, not a speed benchmark.

GPU
RTX 4090 24GB
Dedicated VRAM
24 GB
Model
Llama 3.2 3B
Best recorded fit
Good fit

Quick answer

Llama 3.2 3B has a memory-fit path on the RTX 4090 24GB

At least one recorded variant reaches AIPCFit's good-fit or fits threshold using this GPU's dedicated VRAM. Exact speed, context capacity, and runtime behavior are not predicted here.

Variant-by-variant fit

Llama 3.2 3B variants on RTX 4090 24GB

Llama 3.2 3B · Q4_K_M

GGUF · Q4_K_M

Good fit
Model-size signal
1.7 GB
Minimum load
2.7 GB
Planning memory
3.7 GB
GPU VRAM
24 GB

24 GB dedicated VRAM meets the 3.7 GB planning memory level for Llama 3.2 3B · Q4_K_M.

This is a deterministic memory fit, not a speed or quality benchmark.

Llama 3.2 3B · Q8_0

GGUF · Q8_0

Good fit
Model-size signal
3.2 GB
Minimum load
4.2 GB
Planning memory
5.2 GB
GPU VRAM
24 GB

24 GB dedicated VRAM meets the 5.2 GB planning memory level for Llama 3.2 3B · Q8_0.

This is a deterministic memory fit, not a speed or quality benchmark.

What this compatibility result does not claim

No speed estimate

AIPCFit does not invent tokens-per-second numbers.

No fake system RAM

This page does not assume how much RAM your full PC has, so partial offload is not ranked.

No universal context guarantee

Longer context and runtime settings can increase real memory pressure.

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