Can the NVIDIA RTX 3080 10GB run Llama 3.2 3B?

RTX 3080 10GB × Llama 3.2 3B8K context
YesRuns fully on the GPU
Memory at FP168 GB of 10 GB
Weights 6.4 GBKV cache 0.9 GBRuntime 0.6 GB
QuantFP16Full quality
Memory8 GBof 10 GB usable
Speed~71tokens 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 3080 10GB can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 10 GB available, at roughly 71 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.2 3B:

ollama run llama3.2:3b

Ollama's default download is Q4_K_M (about 3.5 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 3080 10GB? Run Llama 3.2 3B in the cloud.

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

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 10 GB the NVIDIA RTX 3080 10GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality8 GBFits~71 tok/s
Q8_0Near-lossless5 GBFits~134 tok/s
Q6_KExcellent4.2 GBFits~173 tok/s
Q5_K_MVery good3.8 GBFits~200 tok/s
Q4_K_MGood, most popular3.5 GBFits~234 tok/s
Q3_K_MNoticeably degraded3.1 GBFits~291 tok/s
Q2_KHeavily degraded2.7 GBFits~379 tok/s

Frequently asked questions

Can NVIDIA RTX 3080 10GB run Llama 3.2 3B?

Yes. The NVIDIA RTX 3080 10GB can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 10 GB available, at roughly 71 tokens/second.

How much VRAM does Llama 3.2 3B need?

About 3.5 GB at Q4_K_M with 8,192 tokens of context, and about 8 GB at full FP16 precision.

How fast is Llama 3.2 3B on the NVIDIA RTX 3080 10GB?

Roughly 71 tokens per second at FP16, estimated from the NVIDIA RTX 3080 10GB's 760 GB/s memory bandwidth.