model family

F5-TTS

Published by SWivid. 1 member measured on real machines, across 1 build. Every number below was signed by the machine that produced it — none of it is from a model card.

what it takes, what it returns
text → audio

Declared by the network’s catalog, not measured — a signature says what this family would be asked. Whether it answered is the signed capability flags on each member.

1 of 2 builds measured · 1 still open

Builds this network knows of

Declared, not measured — this is what the catalog says exists and what it would cost a machine to hold. Nothing here is signed, and none of it claims the build works.

how much memory does your machine have

2 of 2 builds fit a 16 GB machine — budgeting 70% of it, or 11.2 GiB, because the cache and the runtime want the rest.

  • SPRINGLab/F5-Hindi-24KHzFP32speech-hfmeasured herederived by SPRINGLab
    0.6 GiB
  • SWivid/F5-TTSFP32speech-hfpublished by SWivid
    6.3 GiB

Sizes are what the catalog declares, not what a machine measured — fitting on disk is necessary and not sufficient. Nobody here has run these on your machine, and this narrows the candidates rather than certifying one.

the same builds, by member
F5-Hindi 24 kHz (SPRING Lab)151M
SPRINGLab/F5-Hindi-24KHzFP32speech-hf604 MiB on diskderived by SPRINGLab
F5-TTS v1 Base (zero-shot voice, en/zh)336M
SWivid/F5-TTSFP32speech-hf6.3 GiB on diskpublished by SWivid
ask your own gram

Your concierge can answer this from the network rather than from this page. The ask carries the operator id, so it resolves to a capability and an engine — not to a name somebody has to recognise.

What has this network measured about the F5-TTS family (epn.family.f5-tts), and can my gram run any of it? See /inferences/f5-tts

open a gramx with this ask →epn.family.f5-tts