Can WizardMath 7B run on RX 7600 XT 16GB?

YES — Runs Great

A72Great
Estimated from fit model

WizardMath 7B needs ~8.7 GB VRAM. RX 7600 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~42 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: 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) 8.7 GB, 42.1 tok/s, Runs well
8.7 GB required16.0 GB available
54% VRAM used

Fit status

Runs well

Decode

42.1 tok/s

TTFT

4604 ms

Safe context

4K

Memory

8.7 GB / 16.0 GB

Memory breakdown

Weights4.3 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom1.6 GB

See how fast it feels

See how fast it feelsWizardMath 7B on RX 7600 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: 42.1 tok/s decode · 4.6s TTFT (warm) · 105 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 well42.1 tok/s2511 ms4K
CodingARuns well42.1 tok/s4604 ms4K
Agentic CodingARuns well42.1 tok/s6696 ms4K
ReasoningARuns well42.1 tok/s5441 ms4K
RAGARuns well42.1 tok/s8370 ms4K

Quantization options

How WizardMath 7B (7B params) fits at each quantization level on RX 7600 XT 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowB67
Q3_K_S
3
3.4 GB
LowB68
NVFP4
4
3.9 GB
MediumB68
Q4_K_M
4
4.3 GB
MediumB69
Q5_K_M
5
5.0 GB
HighB69
Q6_K
6
5.7 GB
HighA70
Q8_0Best for your GPU
8
7.5 GB
Very HighA72
F16
16
14.3 GB
MaximumF0

Get started

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

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "WizardLMTeam/WizardMath-7B-V1.1" \ --hf-file "WizardMath-7B-V1.1-Q4_K_M.gguf" \ -c 4096 -ngl 99

Your hardware

More models your RX 7600 XT 16GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen 3.5 9B9BS32.7 tok/s
AlibabaQwen 3 14B14BS21.1 tok/s
AlibabaQwen 3 8B8BS36.8 tok/s
MicrosoftPhi-4-reasoning-plus 14B14.7BS20 tok/s
OpenAIGPT-OSS 20B21BA19.3 tok/s

Frequently asked questions

Can RX 7600 XT 16GB run WizardMath 7B?

Yes, RX 7600 XT 16GB can run WizardMath 7B with a A grade (Runs well). Expected decode speed: 42.1 tok/s.

How much VRAM does WizardMath 7B need?

WizardMath 7B (7B parameters) requires approximately 8.7 GB of memory with Q4_K_M quantization.

What is the best quantization for WizardMath 7B?

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

What speed will WizardMath 7B run at on RX 7600 XT 16GB?

On RX 7600 XT 16GB, WizardMath 7B achieves approximately 42.1 tokens per second decode speed with a time-to-first-token of 4604ms using Q4_K_M quantization.

Can RX 7600 XT 16GB run WizardMath 7B for coding?

For coding workloads, WizardMath 7B on RX 7600 XT 16GB receives a A grade with 42.1 tok/s and 4K context.

What context window can WizardMath 7B use on RX 7600 XT 16GB?

On RX 7600 XT 16GB, WizardMath 7B can safely use up to 4K tokens of context. The model's official context limit is 4K, but available memory constrains the safe maximum.

See all results for RX 7600 XT 16GBSee all hardware for WizardMath 7B
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