Will It Run AI

Can MPT-7B-Instruct run on Radeon RX 7800M 12GB?

BARELY — Tight on Memory

C51Usable
Estimated from fit model

MPT-7B-Instruct needs ~14.2 GB VRAM. Radeon RX 7800M 12GB has 12.0 GB. With Q4_K_M quantization, expect ~32 tok/s.

Runtime: llama.cppCapacity: OffloadBandwidth: LowStack: StandardBottleneck: Host offload
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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) — 14.2 GB, 31.5 tok/s, Very compromised (needs ~0.7 GB host RAM)
14.2 GB required12.0 GB available
118% VRAM needed

2.2 GB over capacity — needs offload or smaller quantization

Fit status

Very compromised (needs ~0.7 GB host RAM)

Decode

31.5 tok/s

TTFT

6148 ms

Safe context

8K

Memory

14.2 GB / 12.0 GB

Offload

20%

Memory breakdown

Weights4.3 GB
KV Cache7.8 GB
Runtime0.9 GB
Headroom1.2 GB

See how fast it feels

See how fast it feelsMPT-7B-Instruct on Radeon RX 7800M 12GB
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: 31.5 tok/s decode · 6.1s TTFT (warm) · 79 tok/s prefill

What limits this setup

It fits through host-memory offload, and offload is the main reason performance drops.

CPU or host-memory offload is active

About 20% of the working set spills out of accelerator memory, which usually hurts latency and sustained decode throughput.

Very little memory headroom

You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.

Best improvement path

Remove offload with more accelerator memory

Prioritize a GPU or unified-memory tier that fits the whole model natively. Removing offload usually helps more than small compute gains.

Buy headroom, not only minimum fit

A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

Increase host RAM if you keep offloading

This setup may need roughly 0.7 GB of extra host RAM just for the offloaded portion, before OS and other tools.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatBTight fit59.7 tok/s1769 ms8K
CodingCVery compromised (needs ~0.7 GB host RAM)31.5 tok/s6148 ms8K
Agentic CodingFToo heavy12.5 tok/s22521 ms8K
ReasoningCVery compromised (needs ~0.7 GB host RAM)31.5 tok/s7265 ms8K
RAGFToo heavy12.5 tok/s28151 ms8K

Quantization options

How MPT-7B-Instruct (7B params) fits at each quantization level on Radeon RX 7800M 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowB65
Q3_K_S
3
3.4 GB
LowB66
NVFP4
4
3.9 GB
MediumB67
Q4_K_M
4
4.3 GB
MediumB67
Q5_K_M
5
5.0 GB
HighB68
Q6_K
6
5.7 GB
HighB69
Q8_0Best for your GPU
8
7.5 GB
Very HighB68
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

Opciones de mejora

Hardware que ejecuta bien MPT-7B-Instruct

RX 7600 XT 16GBOpción económica
16 GB VRAM (+4)
B
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.39.1 tok/s decodificación

Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.

Añade margen de memoria para más contexto y para que el modelo envejezca mejor.

~$329 MSRP

RX 9060 XT 16GBMejor relación calidad-precio
16 GB VRAM (+4)
B
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.47.2 tok/s decodificación

Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.

Sube la velocidad estimada de decodificación alrededor de un 50%.

~$349 MSRP

RX 9070 16GBMejora AMD
16 GB VRAM (+4)640 GB/s (+208)
A
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.92.9 tok/s decodificación

Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.

Sube la velocidad estimada de decodificación alrededor de un 195%.

~$479 MSRP

Frequently asked questions

Can Radeon RX 7800M 12GB run MPT-7B-Instruct?

Yes, Radeon RX 7800M 12GB can run MPT-7B-Instruct with a C grade (Very compromised (needs ~0.7 GB host RAM)). Expected decode speed: 31.5 tok/s.

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

MPT-7B-Instruct (7B parameters) requires approximately 14.2 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 Radeon RX 7800M 12GB?

On Radeon RX 7800M 12GB, MPT-7B-Instruct achieves approximately 31.5 tokens per second decode speed with a time-to-first-token of 6148ms using Q4_K_M quantization.

Can Radeon RX 7800M 12GB run MPT-7B-Instruct for coding?

For coding workloads, MPT-7B-Instruct on Radeon RX 7800M 12GB receives a C grade with 31.5 tok/s and 8K context.

What context window can MPT-7B-Instruct use on Radeon RX 7800M 12GB?

On Radeon RX 7800M 12GB, 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.

What should I upgrade first if MPT-7B-Instruct feels slow on Radeon RX 7800M 12GB?

Remove offload with more accelerator memory. Prioritize a GPU or unified-memory tier that fits the whole model natively. Removing offload usually helps more than small compute gains.

See all results for Radeon RX 7800M 12GBSee all hardware for MPT-7B-Instruct
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