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URL: https://willitrunai.com/can-run/mpt-7b-instruct-on-rx-7900m-16gb


Can MPT-7B-Instruct run on Radeon RX 7900M 16GB?

YES — Tight Fit

B70Good
Estimated from fit model

MPT-7B-Instruct needs ~14.6 GB VRAM. Radeon RX 7900M 16GB has 16.0 GB. With Q4_K_M quantization, expect ~80 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, 79.6 tok/s, Tight fit
14.6 GB required16.0 GB available
91% VRAM used

Fit status

Tight fit

Decode

79.6 tok/s

TTFT

2433 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 Radeon RX 7900M 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: 79.6 tok/s decode · 2.4s TTFT (warm) · 199 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 well79.6 tok/s1327 ms8K
CodingBTight fit79.6 tok/s2433 ms8K
Agentic CodingFToo heavy29.4 tok/s9575 ms8K
ReasoningBTight fit79.6 tok/s2875 ms8K
RAGFToo heavy29.4 tok/s11968 ms8K

Quantization options

How MPT-7B-Instruct (7B params) fits at each quantization level on Radeon RX 7900M 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowB63
Q3_K_S
3
3.4 GB
LowB63
NVFP4
4

Get started

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

Run

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

Upgrade options

Hardware that runs MPT-7B-Instruct well

RX 7900 XT 20GBBudget pick
20 GB VRAM (+4)800 GB/s (+224)
A
Adds memory headroom for longer context windows and future model growth.98 tok/s decode

Adds memory headroom for longer context windows and future model growth.

~$899 MSRP

RX 7900 XTX 24GBBest value
24 GB VRAM (+8)960 GB/s (+384)
A
Adds memory headroom for longer context windows and future model growth.98 tok/s decode

Adds memory headroom for longer context windows and future model growth.

~$999 MSRP

Frequently asked questions

See all results for Radeon RX 7900M 16GBSee all hardware for MPT-7B-Instruct
3.9 GB
Medium
B64
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