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The toktape card for this run: 4.6 ms p50 embedding · Q8_0 · rtx-5090

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EmbeddingGemma 2 Q8_0 side seat on bloomery, RTX 5090

embeddinggemma-2-Q8_0.gguf · 4.6 ms p50 embedding · Q8_0 · rtx-5090

anonymous

bloomery ab6b23c88db4c9307f5380b4b158c27c1e2d6f5c, EmbeddingGemma 2 Q8_0 with its BF16 image projector seated beside Qwen3.6-35B-A3B Q4_K_M. The same built-in 20 Korean/English documents, six queries, and task prefixes as ks3i97nukkma5s95gedh, checked byte for byte. Requests use POST /embedding, the llama API. Warm-up requests were discarded. Recorded again with toktape aa1a917c; the MODEL field names embeddinggemma-2-Q8_0.gguf. Different cards and engines are shown in separate tapes; this is not an interleaved speed comparison.

request p50
4.6ms
modelembeddinggemma-2-Q8_0.gguf
quantisationQ8_0 · 8.5 bit
size?
enginebloomery 0.3.2 (ab6b23c88db4c9307f5380b4b158c27c1e2d6f5c)
hostlinux · 1x rtx-5090
gpusNVIDIA GeForce RTX 5090
memoryGPU0 22.7/31.8 GiB · host RSS 0.8 GiB (file 0.3 / anon 0.4)
modeembedding model · POST /v1/embeddings or /embedding
workload?
context?
config?
machine54.3 of 400 W
prompt setnot in a comparison set
recorded2026-10-15T06:43:20Z
toktapedev

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