Can the NVIDIA RTX 4070 Ti Super run Llama 3.1 8B?

RTX 4070 Ti Super × Llama 3.1 8B8K context
YesRuns fully on the GPU
Memory at Q8_010.2 GB of 16 GB
Weights 8.5 GBKV cache 1.1 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Memory10.2 GBof 16 GB usable
Speed~47tokens 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 3.1 8B fully in VRAM at Q8_0 (near-lossless), using about 10.2 GB of the 16 GB available, at roughly 47 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.1 8B:

ollama run llama3.1:8b

Ollama's default download is Q4_K_M (about 6.5 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 4070 Ti Super

Run it in the cloud

No NVIDIA RTX 4070 Ti Super? Run Llama 3.1 8B 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 quality17.7 GBToo big—
Q8_0Near-lossless10.2 GBFits~47 tok/s
Q6_KExcellent8.3 GBFits~61 tok/s
Q5_K_MVery good7.4 GBFits~71 tok/s
Q4_K_MGood, most popular6.5 GBFits~83 tok/s
Q3_K_MNoticeably degraded5.6 GBFits~103 tok/s
Q2_KHeavily degraded4.7 GBFits~134 tok/s

Frequently asked questions

Can NVIDIA RTX 4070 Ti Super run Llama 3.1 8B?

Yes. The NVIDIA RTX 4070 Ti Super can run Llama 3.1 8B fully in VRAM at Q8_0 (near-lossless), using about 10.2 GB of the 16 GB available, at roughly 47 tokens/second.

How much VRAM does Llama 3.1 8B need?

About 6.5 GB at Q4_K_M with 8,192 tokens of context, and about 17.7 GB at full FP16 precision.

How fast is Llama 3.1 8B on the NVIDIA RTX 4070 Ti Super?

Roughly 47 tokens per second at Q8_0, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.