Can the NVIDIA RTX 4070 Ti run Llama 3.2 1B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 4070 Ti can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 12 GB available, at roughly 122 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Llama 3.2 1B:
ollama run llama3.2:1bOllama'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.
New to this? Step-by-step setup for the RTX 4070 Ti
Run it in the cloud
No NVIDIA RTX 4070 Ti? 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 12 GB the NVIDIA RTX 4070 Ti can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 3.3 GB | Fits | ~122 tok/s | |
| Q8_0 | Near-lossless | 2.2 GB | Fits | ~230 tok/s | |
| Q6_K | Excellent | 1.9 GB | Fits | ~297 tok/s | |
| Q5_K_M | Very good | 1.8 GB | Fits | ~343 tok/s | |
| Q4_K_M | Good, most popular | 1.6 GB | Fits | ~402 tok/s | |
| Q3_K_M | Noticeably degraded | 1.5 GB | Fits | ~499 tok/s | |
| Q2_K | Heavily degraded | 1.3 GB | Fits | ~650 tok/s |
Measured speed from real RTX 4070 Ti owners
Tokens per second that people measured on their own NVIDIA RTX 4070 Ti, next to our estimate.
No one has measured Llama 3.2 1B on the NVIDIA RTX 4070 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 4070 Ti? Add your real speed
One command times Llama 3.2 1B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.
macOS and Linux
curl -fsSL https://gpufit.dev/bench.sh | sh -s -- llama3.2:1bWindows (PowerShell)
$env:GPUFIT_MODEL="llama3.2:1b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Llama 3.2 1B comfortably
Frequently asked questions
Can NVIDIA RTX 4070 Ti run Llama 3.2 1B?
Yes. The NVIDIA RTX 4070 Ti can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 12 GB available, at roughly 122 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?
Roughly 122 tokens per second at FP16, estimated from the NVIDIA RTX 4070 Ti's 504 GB/s memory bandwidth.