inference/research
verifiedmedium · 0.75updated 2026-10-16

llama.cpp CUDA on Tesla T4: Llama-2-7B Q4_0 FA-on tg128 decode tok/s (scoreboard #15013)

44.03 tok/s (tg128, per-request, batch 1)

Fields

id
benchmarks/llamacpp-cuda-t4-llama27b-q40-fa-tg128
Metric
decode_tok_s
Value
44.03
Unit
tok/s (tg128, per-request, batch 1)
Model
llama-2-7b.Q4_0.gguf (TheBloke, 3.56 GiB, 6.74B params)
Methodology
COMMUNITY-SCOREBOARD (llama.cpp discussion #15013, maintainer-curated). llama-bench -m llama-2-7b.Q4_0.gguf -ngl 99 -fa 1. Tesla T4 (16 GB GDDR6 256-bit). Build commit b8e09f0, reporter @Hedede. llama-bench default -r 5, mean +/- std. Single-GPU per thread rules. Per-request batch-1, NOT aggregate.
Measured by
third_party
Reproducible
yes
notes
Maintainer-verified scoreboard row from ggml-org/llama.cpp#15013 (CUDA backend). Flash-attention row.

Notes

Maintainer-verified scoreboard row from ggml-org/llama.cpp#15013 (CUDA backend). Flash-attention row.

Cross-references