Heavy tier

Fish Audio S2 Pro

Fish Audio · Fish Audio

Fish Audio's flagship speech model, trained on 10M+ hours of audio with fine-grained inline control over prosody and emotion across 80+ languages. Needs a 24 GB GPU for CUDA inference, though a CPU-only install path exists for testing. Free for research and non-commercial use under the Fish Audio Research License; commercial use requires a separate paid license.

Params

5B (4B slow AR + 400M fast AR)

License

Fish Audio Research License (non-commercial)

Min VRAM

24 GB GPU (CUDA) — CPU-only install also available

Speed

Real-time factor 0.195 on a single H200 · time to first audio ~100ms

Languages

80+ languages (Japanese, English, Chinese as tier 1)

Tier

Heavy

Install & run locally

terminal
git clone https://github.com/fishaudio/fish-speech.git
cd fish-speech
pip install -e .[cu129]   # or .[cpu] for CPU-only
docker compose --profile webui up   # WebUI at localhost:7860

Full install and usage docs on the Hugging Face model card.

Try Fish Audio S2 Pro in the browser— free Hugging Face Space, no install required

Will it run on my hardware?

Fish Audio S2 Pro needs about 24 GB GPU (CUDA) — CPU-only install also available of fast memory. Here is what in our hardware database clears that bar.

Runs at full speed · 6

NVIDIA RTX 5090 32GB32 GB VRAM~$2,999Amazon
NVIDIA RTX 4090 24GB24 GB VRAM~$2,755Amazon
AMD RX 7900 XTX 24GB24 GB VRAM~$1,339Amazon
Apple Mac mini M4 Pro (24 GB)24 GB unified$1,599Amazon
Apple Mac mini M4 Pro (48 GB)48 GB unified$2,099Amazon
Apple Mac Studio M4 Max (64 GB)64 GB unified$2,899Amazon

Runs, but slower on shared memory · 3

MINISFORUM AI X1 Pro32 GB DDR5 (shared)~$699Amazon
Corsair Vengeance 64 GB DDR5 Kit64 GB DDR5~$1,150Amazon
G.Skill Trident Z5 128 GB DDR5128 GB DDR5~$2,200Amazon

6 other tracked configurations do not have enough memory.

Hardware links are affiliate links. We earn a small commission if you buy through them — at no extra cost to you. Disclosure

Specifications

Parameters5B (4B slow AR + 400M fast AR)
LicenseFish Audio Research License (non-commercial)
Min VRAM24 GB GPU (CUDA) — CPU-only install also available
SpeedReal-time factor 0.195 on a single H200 · time to first audio ~100ms
Languages80+ languages (Japanese, English, Chinese as tier 1)
Recommended tierHeavy
Best forvoice cloningemotion controlmultilingual speech

Source

Not distributed through Ollama — install and run it directly from the model card.

View on Hugging Face

Popularity trend (illustrative)

Illustrative adoption trend, not actual download counts. We do not publish a download number for any model because we have no honest source for it.

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Min VRAM

12 GB GPU (7.7 GiB eager) / 24 GB GPU (14.4 GiB fast path)

Speed

Time to first audio <40ms · real-time factor 0.32

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Install & run

git clone https://github.com/breezeblue-ai/breeze-tts.git
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Min VRAM

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Speed

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Min VRAM

None published — small enough to run on CPU alone

Speed

—

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Install & run

pip install -q kokoro>=0.9.2 soundfile