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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/SmolVLM 500M Instruct/on RX 580 8GB

Can it run?

Can RX 580 8GB run SmolVLM 500M Instruct?

CUsable

Runs well

Using Q6_K in Ollama

Capabilities:

Fit status

Runs well

Decode

115.6 tok/s

TTFT

1675 ms

Safe context

40K

Memory

3.2 GB / 8.0 GB

Memory breakdown

Weights0.4 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.8 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well115.6 tok/s2436 ms80K
ChatCRuns well115.6 tok/s914 ms20K
CodingCRuns well115.6 tok/s1675 ms40K
RAGCRuns well115.6 tok/s3045 ms80K
ReasoningCRuns well115.6 tok/s1980 ms40K

Quantization options

How SmolVLM 500M Instruct (0.5B params) fits at each quantization level on RX 580 8GB (8.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.2 GB
LowD30
Q3_K_S
3
0.2 GB
LowD30
NVFP4
4
0.3 GB
MediumD30
Q4_K_M
4
0.3 GB
MediumD30
Q5_K_M
5
0.4 GB
HighD31
Q6_K
6
0.4 GB
HighD31
Q8_0
8
0.5 GB
Very HighD31
F16Best for your GPU
16
1.0 GB
MaximumD32

Get started

HuggingFace
huggingface-cli download hf-ggml-org--smolvlm-500m-instruct-gguf
See all results for RX 580 8GBSee all hardware for SmolVLM 500M Instruct