Will It Run AI

Can MPT-7B-Instruct run on RX 9070 XT 16GB?

YES — Tight Fit

A70Great
Estimated from fit model

MPT-7B-Instruct needs ~14.6 GB VRAM. RX 9070 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~96 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: MediumStack: StandardBottleneck: Balanced
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Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) 14.6 GB, 95.9 tok/s, Tight fit
14.6 GB required16.0 GB available
91% VRAM used

Fit status

Tight fit

Decode

95.9 tok/s

TTFT

2018 ms

Safe context

8K

Memory

14.6 GB / 16.0 GB

Memory breakdown

Weights4.3 GB
KV Cache7.8 GB
Runtime0.9 GB
Headroom1.6 GB

See how fast it feels

See how fast it feelsMPT-7B-Instruct on RX 9070 XT 16GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 95.9 tok/s decode · 2.0s TTFT (warm) · 240 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatARuns well95.9 tok/s1101 ms8K
CodingATight fit95.9 tok/s2018 ms8K
Agentic CodingFToo heavy36.9 tok/s7623 ms8K
ReasoningATight fit95.9 tok/s2385 ms8K
RAGFToo heavy36.9 tok/s9528 ms8K

Quantization options

How MPT-7B-Instruct (7B params) fits at each quantization level on RX 9070 XT 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowB63
Q3_K_S
3
3.4 GB
LowB63
NVFP4
4
3.9 GB
MediumB64
Q4_K_M
4
4.3 GB
MediumB64
Q5_K_M
5
5.0 GB
HighB65
Q6_K
6
5.7 GB
HighB66
Q8_0Best for your GPU
8
7.5 GB
Very HighB67
F16
16
14.3 GB
MaximumF0

Get started

Copy-paste commands to run MPT-7B-Instruct on your machine.

Run

lms load mpt-7b-instruct && lms server start

Your hardware

More models your RX 9070 XT 16GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen 3.5 9B9BS80.2 tok/s
AlibabaQwen 3 14B14BS51.8 tok/s
AlibabaQwen 3 8B8BS90.2 tok/s
MicrosoftPhi-4-reasoning-plus 14B14.7BS49.1 tok/s
OpenAIGPT-OSS 20B21BA48.6 tok/s

Frequently asked questions

Can RX 9070 XT 16GB run MPT-7B-Instruct?

Yes, RX 9070 XT 16GB can run MPT-7B-Instruct with a A grade (Tight fit). Expected decode speed: 95.9 tok/s.

How much VRAM does MPT-7B-Instruct need?

MPT-7B-Instruct (7B parameters) requires approximately 14.6 GB of memory with Q4_K_M quantization.

What is the best quantization for MPT-7B-Instruct?

The recommended quantization for MPT-7B-Instruct is Q4_K_M, which balances quality and memory efficiency.

What speed will MPT-7B-Instruct run at on RX 9070 XT 16GB?

On RX 9070 XT 16GB, MPT-7B-Instruct achieves approximately 95.9 tokens per second decode speed with a time-to-first-token of 2018ms using Q4_K_M quantization.

Can RX 9070 XT 16GB run MPT-7B-Instruct for coding?

For coding workloads, MPT-7B-Instruct on RX 9070 XT 16GB receives a A grade with 95.9 tok/s and 8K context.

What context window can MPT-7B-Instruct use on RX 9070 XT 16GB?

On RX 9070 XT 16GB, MPT-7B-Instruct can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.

See all results for RX 9070 XT 16GBSee all hardware for MPT-7B-Instruct
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<iframe src="https://willitrunai.com/embed/mpt-7b-instruct-on-rx-9070-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

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