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Can the NVIDIA RTX 4090 run Llama 3.2 1B?

RTX 4090 × Llama 3.2 1B8K context
YesRuns fully on the GPU
Memory at FP163.3 GB of 24 GB
Weights 2.5 GBKV cache 0.3 GBRuntime 0.6 GB
QuantFP16Full quality
Memory3.3 GBof 24 GB usable
Speed~244tokens 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 4090 can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 24 GB available, at roughly 244 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 4090? 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 24 GB the NVIDIA RTX 4090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality3.3 GBFits~244 tok/s
Q8_0Near-lossless2.2 GBFits~459 tok/s
Q6_KExcellent1.9 GBFits~595 tok/s
Q5_K_MVery good1.8 GBFits~686 tok/s
Q4_K_MGood, most popular1.6 GBFits~805 tok/s
Q3_K_MNoticeably degraded1.5 GBFits~998 tok/s
Q2_KHeavily degraded1.3 GBFits~1301 tok/s

GPUs that run Llama 3.2 1B comfortably

Models that run well on the NVIDIA RTX 4090

Frequently asked questions

Can NVIDIA RTX 4090 run Llama 3.2 1B?

Yes. The NVIDIA RTX 4090 can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 24 GB available, at roughly 244 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 4090?

Roughly 244 tokens per second at FP16, estimated from the NVIDIA RTX 4090's 1008 GB/s memory bandwidth.