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Can the NVIDIA RTX 5080 run Llama 3.2 1B?

RTX 5080 × 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
Memory3.3 GBof 16 GB usable
Speed~232tokens per second
  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 NVIDIA RTX 5080 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 232 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.

Run it in the cloud

No NVIDIA RTX 5080? 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 NVIDIA RTX 5080 can use.

QuantQualityMemoryFits?Speed
FP16Full quality3.3 GBFits~232 tok/s
Q8_0Near-lossless2.2 GBFits~437 tok/s
Q6_KExcellent1.9 GBFits~566 tok/s
Q5_K_MVery good1.8 GBFits~653 tok/s
Q4_K_MGood, most popular1.6 GBFits~766 tok/s
Q3_K_MNoticeably degraded1.5 GBFits~950 tok/s
Q2_KHeavily degraded1.3 GBFits~1239 tok/s

GPUs that run Llama 3.2 1B comfortably

Models that run well on the NVIDIA RTX 5080

Frequently asked questions

Can NVIDIA RTX 5080 run Llama 3.2 1B?

Yes. The NVIDIA RTX 5080 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 232 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 NVIDIA RTX 5080?

Roughly 232 tokens per second at FP16, estimated from the NVIDIA RTX 5080's 960 GB/s memory bandwidth.