Best voice cloning models to run locally on a 32GB graphics card
A leaderboard of the best voice cloning models you can run locally on a 32GB graphics card (with 32GB of system RAM). dots.tts SOAR 2B is #1 right now, followed by LongCat-AudioDiT-3.5B and dots.tts MF 2B (MeanFlow, NFE 4). Models are ranked on how clear the cloned voice is and how much it sounds like the original speaker. Each model shows the download that fits and the command to run it.
Scores use reviewed voice cloning evaluations only. Compare scores within this task. Models without task measurements are excluded.
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$ terminal
↗ share
detecting your OS…
Score vs memory to run
● open weights ◆ API only ─┘ best score for the memory · x: GB of RAM / VRAM for the smallest download (log)
| # | model | task score↓ | where↓ | speed↓ | sources |
|---|
| # | model | task score↓ | where↓ | speed↓ | sources |
|---|---|---|---|---|---|
| 2 | 67±4 | local | |||
| 4 | 66±4 | local | |||
| 6 | 62±6† | local | |||
| 7 | 62±4 | local | |||
| 8 | 61±3 | local | |||
| 9 | 60±6† | local | |||
| 10 | 59±6*† | local | |||
| 11 | 59±3 | local | |||
| 13 | 58±3 | local | |||
| 14 | 57±7 | local | |||
| 15 | 57±4 | local | |||
| 16 | 56±6 | local | |||
| 17 | 56±3 | local | |||
| 18 | 56±4 | local | |||
| 19 | 54±3 | local | |||
| 20 | 54±6 | local | |||
| 21 | 53±6† | local | |||
| 22 | 53±3 | local | |||
| 23 | 53±4 | local | |||
| 26 | 53±3 | local | |||
| 28 | 52±6† | local | |||
| 29 | 52±4 | local | |||
| 30 | 51±6*† | local | |||
| 32 | 50±3 | local | |||
| 33 | 48±3 | local | |||
| 35 | 41±5 | local | |||
| 36 | 40±5 | local | |||
| 37 | 37±4 | local | |||
| 38 | 33±5 | local | |||
| 39 | 28±12* | local | |||
| 40 | 23±6 | local | |||
| 41 | 17±7* | local | |||
| 42 | Tortoise TTS v2 · fp16 (neonbjb/tortoise-tts) | 12±7* | local | ||
| 43 | -1±7*† | local | |||
| — | not yet calibrated | local | |||
| — | not scored yet | local |
+ 11 more don't fit your machine or budget · show them
47 of 47 catalogue models listed here · sources and licences
* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory