Can the NVIDIA RTX 4070 Ti Super 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 Ti Super can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 16 GB available, at roughly 63 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.
Run it in the cloud
No NVIDIA RTX 4070 Ti Super? 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 16 GB the NVIDIA RTX 4070 Ti Super can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 8 GB | Fits | ~63 tok/s | |
| Q8_0 | Near-lossless | 5 GB | Fits | ~118 tok/s | |
| Q6_K | Excellent | 4.2 GB | Fits | ~153 tok/s | |
| Q5_K_M | Very good | 3.8 GB | Fits | ~177 tok/s | |
| Q4_K_M | Good, most popular | 3.5 GB | Fits | ~207 tok/s | |
| Q3_K_M | Noticeably degraded | 3.1 GB | Fits | ~257 tok/s | |
| Q2_K | Heavily degraded | 2.7 GB | Fits | ~335 tok/s |
GPUs that run Llama 3.2 3B comfortably
Models that run well on the NVIDIA RTX 4070 Ti Super
Frequently asked questions
Can NVIDIA RTX 4070 Ti Super run Llama 3.2 3B?
Yes. The NVIDIA RTX 4070 Ti Super can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 16 GB available, at roughly 63 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 Ti Super?
Roughly 63 tokens per second at FP16, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.