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OP·Fredoline Eruo
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RUNLOCALAI · v38
Mistral 7B Instruct v0.3 / on / NVIDIA GeForce RTX 3080 16GB (Mobile)
Fits comfortably

Running Mistral 7B Instruct v0.3 on NVIDIA GeForce RTX 3080 16GB (Mobile)

NVIDIA GeForce RTX 3080 16GB (Mobile) runs Mistral 7B Instruct v0.3 comfortably at Q5_K_M with 9 GB of headroom for context.

By Fredoline Eruo·Latest benchmark evidence Jun 2, 2026

Model size

7B params
Mistral 7B Instruct v0.3 →

Memory available

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

Recommended quant

Q5_K_M
Highest quality that fits

Quick start with Ollama

1. Install
ollama pull mistral:7b
2. Run
ollama run mistral:7b

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

Variants and what fits

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

Real benchmarks

ToolQuantContexttok/sVRAM usedDateEvidenceExport
—Q4_K_M4,09689.6 tok/s—Jun 2, 2026Measured here
operator: fred-oline
DetailSourceJSON

Frequently asked

Can NVIDIA GeForce RTX 3080 16GB (Mobile) run Mistral 7B Instruct v0.3?

NVIDIA GeForce RTX 3080 16GB (Mobile) runs Mistral 7B Instruct v0.3 comfortably at Q5_K_M with 9 GB of headroom for context.

What quantization should I use?

Q5_K_M is the highest-quality variant of Mistral 7B Instruct v0.3 that fits in 16 GB VRAM. Lower-bit quants will be smaller but lose some quality.

How fast will it be?

Measured at 89.6 tok/s on this combination in our testing.

See also: Mistral 7B Instruct v0.3, NVIDIA GeForce RTX 3080 16GB (Mobile), all benchmarks.

Reviewed by RunLocalAI Editorial. See our editorial policy.