Can the NVIDIA RTX 4070 run Llama 3.2 3B?

RTX 4070 × Llama 3.2 3B8K context
YesRuns fully on the GPU
Memory at FP168 GB of 12 GB
Weights 6.4 GBKV cache 0.9 GBRuntime 0.6 GB
QuantFP16Full quality
Memory8 GBof 12 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 can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 12 GB available, at roughly 47 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.

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

Run it in the cloud

No NVIDIA RTX 4070? 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 12 GB the NVIDIA RTX 4070 can use.

QuantQualityMemoryFits?Speed
FP16Full quality8 GBFits~47 tok/s
Q8_0Near-lossless5 GBFits~89 tok/s
Q6_KExcellent4.2 GBFits~115 tok/s
Q5_K_MVery good3.8 GBFits~132 tok/s
Q4_K_MGood, most popular3.5 GBFits~155 tok/s
Q3_K_MNoticeably degraded3.1 GBFits~193 tok/s
Q2_KHeavily degraded2.7 GBFits~251 tok/s

Frequently asked questions

Can NVIDIA RTX 4070 run Llama 3.2 3B?

Yes. The NVIDIA RTX 4070 can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 12 GB available, at roughly 47 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 4070?

Roughly 47 tokens per second at FP16, estimated from the NVIDIA RTX 4070's 504 GB/s memory bandwidth.