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RUNLOCALAI · v38
Qwen 2.5 7B Instruct / on / NVIDIA GeForce RTX 3080 16GB (Mobile)
Fits comfortably

Running Qwen 2.5 7B Instruct on NVIDIA GeForce RTX 3080 16GB (Mobile)

NVIDIA GeForce RTX 3080 16GB (Mobile) runs Qwen 2.5 7B Instruct comfortably at Q8_0 with 6 GB of headroom for context.

By Fredoline Eruo·Latest benchmark evidence Jun 2, 2026

Model size

7B params
Qwen 2.5 7B Instruct →

Memory available

16 GB
NVIDIA GeForce RTX 3080 16GB (Mobile) →

Recommended quant

Q8_0
Highest quality that fits

Quick start with Ollama

1. Install
ollama pull qwen2.5:7b
2. Run
ollama run qwen2.5:7b

Default quant in Ollama is Q4_K_M. To use a different quant, append it: qwen2.5:7b-q5_K_M.

Variants and what fits

QuantizationFile sizeVRAM requiredFits on NVIDIA GeForce RTX 3080 16GB (Mobile)?
Q4_K_M4.7 GB6 GB
Yes
Q5_K_M5.4 GB7 GB
Yes
Q8_08.1 GB10 GB
Yes

Real benchmarks

ToolQuantContexttok/sVRAM usedDateEvidenceExport
—Q4_K_M4,09680.4 tok/s—Jun 2, 2026Measured here
operator: fred-oline
DetailSourceJSON

Frequently asked

Can NVIDIA GeForce RTX 3080 16GB (Mobile) run Qwen 2.5 7B Instruct?

NVIDIA GeForce RTX 3080 16GB (Mobile) runs Qwen 2.5 7B Instruct comfortably at Q8_0 with 6 GB of headroom for context.

What quantization should I use?

Q8_0 is the highest-quality variant of Qwen 2.5 7B Instruct that fits in 16 GB VRAM. Lower-bit quants will be smaller but lose some quality.

How fast will it be?

Measured at 80.4 tok/s on this combination in our testing.

See also: Qwen 2.5 7B Instruct, NVIDIA GeForce RTX 3080 16GB (Mobile), all benchmarks.

Reviewed by RunLocalAI Editorial. See our editorial policy.