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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/TinyLlama 1.1B/on Intel Arc B580 12GB

Can it run?

Can Intel Arc B580 12GB run TinyLlama 1.1B?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

218.9 tok/s

TTFT

885 ms

Safe context

4K

Memory

3.9 GB / 12.0 GB

Memory breakdown

Weights0.7 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.2 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well218.9 tok/s1287 ms4K
ChatCRuns well218.9 tok/s482 ms4K
CodingCRuns well218.9 tok/s885 ms4K
RAGCRuns well218.9 tok/s1608 ms4K
ReasoningCRuns well218.9 tok/s1045 ms4K

Quantization options

How TinyLlama 1.1B (1.100000023841858B params) fits at each quantization level on Intel Arc B580 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.4 GB
LowD29
Q3_K_S
3
0.5 GB
LowD29
NVFP4
4
0.6 GB
MediumD29
Q4_K_M
4
0.7 GB
MediumD29
Q5_K_M
5
0.8 GB
HighD30
Q6_K
6
0.9 GB
HighD30
Q8_0
8
1.2 GB
Very HighD30
F16Best for your GPU
16
2.3 GB
MaximumD32

Get started

Ollama
ollama run tinyllama-1.1b
HuggingFace
huggingface-cli download tinyllama-1.1b

Upgrade options

Hardware that runs TinyLlama 1.1B well

AppleMacBook Pro M3 Pro 18GBBudget pick
C109.5 tok/s decode

~$1,999 MSRP

See all results for Intel Arc B580 12GBSee all hardware for TinyLlama 1.1B