Can the NVIDIA RTX 4070 Ti Super run Llama 3.1 8B?
- 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 3.1 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 llama3.1:8bOllama'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.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 17.7 GB | Too big | — | |
| Q8_0 | Near-lossless | 10.2 GB | Fits | ~47 tok/s | |
| Q6_K | Excellent | 8.3 GB | Fits | ~61 tok/s | |
| Q5_K_M | Very good | 7.4 GB | Fits | ~71 tok/s | |
| Q4_K_M | Good, most popular | 6.5 GB | Fits | ~83 tok/s | |
| Q3_K_M | Noticeably degraded | 5.6 GB | Fits | ~103 tok/s | |
| Q2_K | Heavily degraded | 4.7 GB | Fits | ~134 tok/s |
GPUs that run Llama 3.1 8B comfortably
Models that run well on the NVIDIA RTX 4070 Ti Super
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.