llama.cpp on the NVIDIA RTX 4070
llamaperf has 3 llama.cpp reports on the NVIDIA RTX 4070, none of them a plain single-card run with a model size and quant, so there is no median to quote. The reports are listed below with how each one ran.
3 llama.cpp reports on the NVIDIA RTX 4070
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 125B · 6B active · IQ3_XXS15.7 t/s(2 cards, speculative decoding, part in system RAM)
- Qwen3.8 125B · 6B active · 4.27 bpw20.6 t/s(speculative decoding, part in system RAM)
- Qwen3.8 27B · IQ4_XS11.7 t/s(speculative decoding, part in system RAM)
Frequently asked
How fast is llama.cpp on the NVIDIA RTX 4070?
llamaperf has 3 llama.cpp reports on the NVIDIA RTX 4070, none of them a plain single-card run with a model size and quant, so there is no median to quote. The reports are listed below with how each one ran.