Can the NVIDIA RTX 4070 Ti Super run Llama 3.2 1B?

RTX 4070 Ti Super × 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~163tokens 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 4070 Ti Super 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 163 tokens/second.

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 4070 Ti Super? Run Llama 3.2 1B 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 16 GB the NVIDIA RTX 4070 Ti Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality3.3 GBFits~163 tok/s
Q8_0Near-lossless2.2 GBFits~306 tok/s
Q6_KExcellent1.9 GBFits~397 tok/s
Q5_K_MVery good1.8 GBFits~457 tok/s
Q4_K_MGood, most popular1.6 GBFits~536 tok/s
Q3_K_MNoticeably degraded1.5 GBFits~665 tok/s
Q2_KHeavily degraded1.3 GBFits~867 tok/s

Frequently asked questions

Can NVIDIA RTX 4070 Ti Super run Llama 3.2 1B?

Yes. The NVIDIA RTX 4070 Ti Super 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 163 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 4070 Ti Super?

Roughly 163 tokens per second at FP16, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.