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URL: https://willitrunai.com/can-run/mpt-30b-instruct-on-rx-7900-xt-20gb

⇱ MPT-30B-Instruct on RX 7900 XT 20GB? No — Alternatives

Can MPT-30B-Instruct run on RX 7900 XT 20GB?

NO — Won't Fit

F0Won't run
○Estimated from fit model

MPT-30B-Instruct needs ~48.2 GB but RX 7900 XT 20GB only has 20.0 GB. Try a smaller quantization or lighter model.

Runtime: OllamaCapacity: No fitBandwidth: HighStack: BasicBottleneck: Memory capacity
Share:

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

Q5_K_M (High quality) — 48.2 GB, exceeds 20.0 GB available
48.2 GB required20.0 GB available
241% VRAM needed

28.2 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

3.4 tok/s

TTFT

56941 ms

Safe context

4K

Memory

48.2 GB / 20.0 GB

Offload

60%

Memory breakdown

Weights21.6 GB
KV Cache23.4 GB
Runtime1.2 GB
Headroom2.0 GB

See how fast it feels

With memory offload — actual speed may be lower
See how fast it feelsMPT-30B-Instruct on RX 7900 XT 20GB
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: 3.4 tok/s decode · 56.9s TTFT (warm) · 9 tok/s prefill

What limits this setup

Usable VRAM is the main blocker for this model.

Not enough usable memory

The model needs 48.2 GB, but this setup only exposes 20.0 GB of usable VRAM.

Best improvement path

Add more VRAM headroom

The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatFToo heavy4.8 tok/s22062 ms4K
CodingFToo heavy3.4 tok/s56941 ms4K
Agentic CodingFToo heavy3.4 tok/s82824 ms4K
ReasoningFToo heavy3.4 tok/s67294 ms4K
RAGFToo heavy3.4 tok/s103529 ms4K

Quantization options

How MPT-30B-Instruct (30B params) fits at each quantization level on RX 7900 XT 20GB (20.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
LowA71
Q3_K_SBest for your GPU
3
14.7 GB
LowA71
NVFP4
4
16.8 GB
MediumF0
Q4_K_M
4
18.3 GB
MediumF0
Q5_K_M
5
21.6 GB
HighF0
Q6_K
6
24.6 GB
HighF0
Q8_0
8
32.1 GB
Very HighF0
F16
16
61.5 GB
MaximumF0

Upgrade options

Hardware that runs MPT-30B-Instruct well

Radeon Pro W7900 48GBBudget pick
48 GB VRAM (+28)864 GB/s (+64)
B
Makes the model fit on the accelerator instead of staying completely out of reach.15.9 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 368%.

~$3,999 MSRP

Radeon PRO W7900 DS 48GBBest value
48 GB VRAM (+28)864 GB/s (+64)
B
Makes the model fit on the accelerator instead of staying completely out of reach.15.9 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 368%.

~$3,999 MSRP

AMD Instinct MI350X 288GBAMD upgrade
288 GB VRAM (+268)8000 GB/s (+7200)
B
Makes the model fit on the accelerator instead of staying completely out of reach.275.8 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$8,000 MSRP

👁 NVIDIA
NVIDIA H100 80GBBiggest leap
80 GB VRAM (+60)3350 GB/s (+2550)
A
Makes the model fit on the accelerator instead of staying completely out of reach.132.9 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$40,000 MSRP

Frequently asked questions

See all results for RX 7900 XT 20GBSee all hardware for MPT-30B-Instruct