Sponsored by
Vmake Labs Video Enhancer
-Vmake Labs Video Enhancer uses AI to improve video quality, restore details, reduce blur, and upscale videos to 8K.
All
nn.Linear
weight matrices are quantized to
float8_e4m3fn
with per-row
float32 scale factors. Non-linear weights (embeddings, layer norms, codec) remain
in bfloat16. No external quantization library is needed — dequantization is pure PyTorch:
W_bf16 = W_fp8.to(torch.bfloat16) * scale
License
This model inherits the
Fish Audio Research License
.
Free for research and non-commercial use. Commercial use requires a separate license from Fish Audio.
Built with Fish Audio.
Runs of AEmotionStudio fish-speech-s2-pro-fp8 on huggingface.co
51
Total runs
0
24-hour runs
5
3-day runs
5
7-day runs
8
30-day runs
More Information About fish-speech-s2-pro-fp8 huggingface.co Model
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AEmotionStudio fish-speech-s2-pro-fp8 online free url in huggingface.co:
fish-speech-s2-pro-fp8 is an open source model from GitHub that offers a free installation service, and any user can find fish-speech-s2-pro-fp8 on GitHub to install. At the same time, huggingface.co provides the effect of fish-speech-s2-pro-fp8 install, users can directly use fish-speech-s2-pro-fp8 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
fish-speech-s2-pro-fp8 install url in huggingface.co: