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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/StableLM 2 12B/on RX 7600 XT 16GB

Can it run?

Can RX 7600 XT 16GB run StableLM 2 12B?

CUsable

Runs well

Using Q5_K_M in llama.cpp

Capabilities:

Fit status

Runs well

Decode

19.7 tok/s

TTFT

9817 ms

Safe context

4K

Memory

13.0 GB / 16.0 GB

Memory breakdown

Weights8.6 GB
KV Cache1.9 GB
Runtime0.9 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCTight fit19.7 tok/s14280 ms4K
ChatCRuns well19.7 tok/s5355 ms4K
CodingCRuns well19.7 tok/s9817 ms4K
RAGCTight fit19.7 tok/s17850 ms4K
ReasoningCRuns well19.7 tok/s11602 ms4K

Quantization options

How StableLM 2 12B (12B params) fits at each quantization level on RX 7600 XT 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
4.7 GB
LowD35
Q3_K_S
3
5.9 GB
LowD36
NVFP4
4
6.7 GB
MediumD37
Q4_K_M
4
7.3 GB
MediumD38
Q5_K_M
5
8.6 GB
HighD40
Q6_KBest for your GPU
6
9.8 GB
HighC42
Q8_0
8
12.8 GB
Very HighC43
F16
16
24.6 GB
MaximumF0

Get started

HuggingFace
huggingface-cli download stablelm-2-12b

Upgrade options

Hardware that runs StableLM 2 12B well

AMDRX 7900 XT 20GBBudget pick
C56.7 tok/s decode

~$899 MSRP

AMDRX 7900 XTX 24GBBest value
C81.6 tok/s decode

~$999 MSRP

NVIDIARTX A4500 20GBBiggest leap
C58.9 tok/s decode

 

See all results for RX 7600 XT 16GBSee all hardware for StableLM 2 12B