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Can the Intel Arc A770 16GB run Llama 3.2 1B?

Intel Arc A770 16GB × Llama 3.2 1B8K context
YesRuns fully on the GPU
Memory at FP163.3 GB of 16 GB
Weights 2.5 GBKV cache 0.3 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~135tokens per second
Max context128Kthe model's full window
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The Intel Arc A770 16GB can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 16 GB available, at roughly 135 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.2 1B:

ollama run llama3.2:1b

Ollama's default download is Q4_K_M (about 1.6 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Intel Arc A770 16GB

Run it in the cloud

No Intel Arc A770 16GB? Run Llama 3.2 1B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the Intel Arc A770 16GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality3.3 GBFits~135 tok/s
Q8_0Near-lossless2.2 GBFits~255 tok/s
Q6_KExcellent1.9 GBFits~330 tok/s
Q5_K_MVery good1.8 GBFits~381 tok/s
Q4_K_MGood, most popular1.6 GBFits~447 tok/s
Q3_K_MNoticeably degraded1.5 GBFits~554 tok/s
Q2_KHeavily degraded1.3 GBFits~723 tok/s

Measured speed from real Intel Arc A770 16GB owners

Tokens per second that people measured on their own Intel Arc A770 16GB, next to our estimate.

No one has measured Llama 3.2 1B on the Intel Arc A770 16GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Intel Arc A770 16GB? Add your real speed

One command times Llama 3.2 1B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- llama3.2:1b

Windows (PowerShell)

$env:GPUFIT_MODEL="llama3.2:1b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Llama 3.2 1B comfortably

Models that run well on the Intel Arc A770 16GB

Frequently asked questions

Can Intel Arc A770 16GB run Llama 3.2 1B?

Yes. The Intel Arc A770 16GB can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 16 GB available, at roughly 135 tokens/second.

How much VRAM does Llama 3.2 1B need?

About 1.6 GB at Q4_K_M with 8,192 tokens of context, and about 3.3 GB at full FP16 precision.

How fast is Llama 3.2 1B on the Intel Arc A770 16GB?

Roughly 135 tokens per second at FP16, estimated from the Intel Arc A770 16GB's 560 GB/s memory bandwidth.