wespeaker-voxceleb-resnet34-LM
Not measured here yet.
1 build of wespeaker-voxceleb-resnet34-LM, 3 signed runs on real machines: different packagers, precisions and engines, each a different file with its own numbers. 6M parameters, as the vendor states.
3.8 GBmemory, smallest build
3providers measured it
Run it on your gram Install a gram with one command. It works through the catalog on your own machine and signs every result. 3 providers have measured wespeaker-voxceleb-resnet34-LM so far.Use it in your own room Ask Evo in your gramx and it runs on a machine that proved it. On your own machines it costs you nothing.Compare every build Put it beside every other model in one table: speed, price, context and the API price, one row each.
best on speaker-id · 1 build
no context proved on this engine yet
What it fits on
The smallest build needs about 3.8 GB; 17 of 18 kinds of machine on the network can hold it. Bars: each kind's memory (its card's, else RAM) · ticks: every build, at the size it held plus a fifth for the prompt.
- Linux, CPU only · 2 CPUs1 GB RAMnone
- NVIDIA GeForce RTX 3050 Laptop GPU4 GB on the cardevery build
- NVIDIA GeForce GTX 16504 GB on the cardevery build
- AMD Radeon(TM) Vega 8 Mobile Graphics7 GB RAMevery build
- Windows, CPU only · 12 CPUs7 GB RAMevery build
- Apple silicon8 GB RAMevery build
- Apple M18 GB RAMevery build
- Mac, CPU only · 8 CPUs8 GB RAMevery build
- NVIDIA GeForce RTX 3080 Ti12 GB on the cardevery build
- Tesla T415 GB on the cardevery build
- Intel(R) UHD Graphics 73016 GB RAMevery build
- Intel(R) Iris(R) Xe Graphics16 GB RAMevery build
- Apple M416 GB RAMevery build
- Apple M116 GB RAMevery build
- NVIDIA L422 GB on the cardevery build
- 2× Tesla T429 GB on the cardevery build
- Linux, CPU only · 4 CPUs31 GB RAMevery build
- NVIDIA RTX PRO 6000 Blackwell Server Edition95 GB on the cardevery build
Measured by
The people whose machines signed these numbers
proved by at least one build: voice.identify
Every build
Each its own file with its own page: the machines that ran it and their signatures.
| build | engine | whose work | memory | context proved | best tok/s | machines |
|---|---|---|---|---|---|---|
| FP32 by pyannotepyannote/wespeaker-voxceleb-resnet34-LM | speaker-id | vendor · pyannote | 3.8 GB | — | — | 3 |