Can the NVIDIA RTX 4070 run Llama 3.2 3B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- 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 llama3.2:3bOllama'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.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 8 GB | Fits | ~47 tok/s | |
| Q8_0 | Near-lossless | 5 GB | Fits | ~89 tok/s | |
| Q6_K | Excellent | 4.2 GB | Fits | ~115 tok/s | |
| Q5_K_M | Very good | 3.8 GB | Fits | ~132 tok/s | |
| Q4_K_M | Good, most popular | 3.5 GB | Fits | ~155 tok/s | |
| Q3_K_M | Noticeably degraded | 3.1 GB | Fits | ~193 tok/s | |
| Q2_K | Heavily degraded | 2.7 GB | Fits | ~251 tok/s |
GPUs that run Llama 3.2 3B comfortably
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.