Published by facebook. No machine on this network has measured this family yet. The members below are what the catalog knows exists; nothing about what they can do is claimed here until somebody runs one.
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.
0 of 12 builds measured · 12 still open
MMS-TTS Assamese1 known build · not measured
MMS-TTS Bengali1 known build · not measured
MMS-TTS Gujarati1 known build · not measured
MMS-TTS Hindi1 known build · not measured
MMS-TTS Kannada1 known build · not measured
MMS-TTS Malayalam1 known build · not measured
MMS-TTS Marathi1 known build · not measured
MMS-TTS Odia1 known build · not measured
MMS-TTS Punjabi1 known build · not measured
MMS-TTS Tamil1 known build · not measured
MMS-TTS Telugu1 known build · not measured
MMS-TTS Urdu1 known build · not measured
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
12 of 12 builds fit a 16 GB machine — budgeting 70% of it, or 11.2 GiB, because the cache and the runtime want the rest.
facebook/mms-tts-asmFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-benFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-gujFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-hinFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-kanFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-malFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-marFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-oryFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-panFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-tamFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-telFP32speech-hfpublished by facebook
0.1 GiB
facebook/mms-tts-urd-script_arabicFP32speech-hfpublished by facebook
0.1 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
MMS-TTS Assamese36M
facebook/mms-tts-asmFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Bengali36M
facebook/mms-tts-benFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Gujarati36M
facebook/mms-tts-gujFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Hindi36M
facebook/mms-tts-hinFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Kannada36M
facebook/mms-tts-kanFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Malayalam36M
facebook/mms-tts-malFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Marathi36M
facebook/mms-tts-marFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Odia36M
facebook/mms-tts-oryFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Punjabi36M
facebook/mms-tts-panFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Tamil36M
facebook/mms-tts-tamFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Telugu36M
facebook/mms-tts-telFP32speech-hf139 MiB on diskpublished by facebook
MMS-TTS Urdu36M
facebook/mms-tts-urd-script_arabicFP32speech-hf139 MiB on diskpublished by facebook
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 MMS-TTS (Meta) family (epn.family.mms-tts), and can my gram run any of it? See /inferences/mms-tts