A 117M-parameter Silia model trained on an H100 in 5 hours
Silia, a design, was used to train a 117 million- model on an H100 in about 5 hours. The computing power was sponsored by Ok-Internal9317. The model files are available on , and the code is available on GitHub.
Running it uses uv for , with torch, numpy, regex, and colorama installed. The shown sample answer does not clearly answer the question and instead breaks the text into confusing parts, so the model’s practical quality still looks uncertain.
Key points
- The model has 117 million and uses the Silia design.
- It was trained on an H100 in about 5 hours.
- The model is on , and the code is on GitHub.
- It can be run with uv and several .
- The sample output suggests the model needs more quality testing.