llama.cpp on the NVIDIA RTX 4070 Ti Super
On the NVIDIA RTX 4070 Ti Super, llama.cpp runs Qwen3.8 27B at 4-bit at a median 5.7 tokens per second for generation, from 1 plain run (4K context).
Speed by model on the NVIDIA RTX 4070 Ti Super
Plain runs only: one device, one request, no speculative decoding, the whole model in memory. Each row is one model size at one bit class, with the other engines' plain runs of the same model on this card beside it. Context length and build still differ between runs, and each side shows its own.
| Model | llama.cpp | Other engines |
|---|---|---|
| Qwen3.8 27B 4-bit | 5.7 t/sone report, 4K context | no other engine reported |
4 llama.cpp reports on the NVIDIA RTX 4070 Ti Super
Newest first. A run on several cards, with speculative decoding, with part of the model in system RAM or with batched requests says so, since each describes a different setup.
- Qwen3.8 27B · Q510.0 t/s(part in system RAM)
- Qwen3.8 27B · IQ2_XXS54.1 t/s
- Qwen3.8 27B · Q4_K_M5.7 t/s
- Qwen3.8 27B · Q4_K_M7.6 t/s(speculative decoding)
Frequently asked
How fast is llama.cpp on the NVIDIA RTX 4070 Ti Super?
On the NVIDIA RTX 4070 Ti Super, llama.cpp runs Qwen3.8 27B at 4-bit at a median 5.7 tokens per second for generation, from 1 plain run (4K context).