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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/Models/SmolVLM 500M Instruct

Ggml-orgGGgml-org

SmolVLM 500M Instruct

huggingfaceHuggingFace
Limited data available — some specs may be incomplete or estimated.
509.5KDownloads48Likes0K tokensContextUnknownLicense5 EntryQuality

Get started

— copy & paste to run locally
HuggingFace
huggingface-cli download hf-ggml-org--smolvlm-500m-instruct-gguf

Quick specs

Parameters0.5B
Architecturedense
Context0K tokens
Modalitytext
Min RAM0.2 GB
Rec. RAM0.4 GB (Q6_K)
LicenseUnknown
FamilySmol
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Your hardware

Detecting...

Quick picks

Intel
Best budgetC
Intel Arc B580 12GB~$249 — 230 tok/s
NVIDIA
Best overallC
RTX 2060 6GB~$349 — 201 tok/s

Best hardware

Top picks for SmolVLM 500M Instruct

NVIDIA
RTX 3050 Ti Laptop 4GBB
4 GB
NVIDIA
GTX 1650 4GBC
4 GB
Intel
Intel Arc A370M 4GBC
4 GB
Intel
Intel Arc A380 6GBC
6 GB
Intel
Intel Arc Pro A40 6GBC
6 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
0.2 GB
Low—
Q3_K_S
3
0.2 GB
Low—
NVFP4
4
0.3 GB
Medium—
Q4_K_M
4
0.3 GB
Medium—
Q5_K_M
5
0.4 GB
High—
Q6_K
6
0.4 GB
High—
Q8_0
8
0.5 GB
Very High—
F16
16
1.0 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights0.4 GB
KV Cache0.8 GB
Runtime0.9 GB
Headroom2.4 GB