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For future ML developers: A post like this should include system requirements. It's not clear from the blog post, the git page, and most other places if this w
by blagie 10mo ago
For future ML developers: A post like this should include system requirements.
It's not clear from the blog post, the git page, and most other places if this will run on, even in big-O:
* CPU
* 16GB GPU
* 240GB server (of the type most business can afford)
* Meta/Google/Open AI/Anthropic-style data center
- lelag 10mo agoIndeed. I've tried to run it locally this but couldn't get it running on my measly gaming-spec workstation. It's seems you need lot's of ram and vram. Reading the issues on github[1], it does not seem many others have had success in using this effectively: - someone with a 96 Gb VRAM RTX 6000 Pro had cuda oom issues - someone somehow made it work on a RTX 4090 somehow, but RTF processing time was 12... - someone with a RTX 5090 managed to use it, but with clips no longer than 20s It seems utility of the model for hobbyist with consumer grade cards will be low. [1]: https://github.com/facebookresearch/sam-audio/issues/24 https://github.com/facebookresearch/sam-audio/issues/24
- PeterStuer 10mo agoIt realy depends on your runtime environment, but I agree it would be nice to have some references with commonly used setups.
- blagie 10mo agoIt does, but my comment was "even in big-O." Environments might mean the difference between e.g. 16GB and 24GB, but not 16GB and 160GB.