Instructions to use stable-ai/LimiX-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stable-ai/LimiX-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stable-ai/LimiX-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
About the scaling-law checkpoints releases
#1
by puhsu - opened
Hi! Congrats on a great release! I've found the section on the parameter scaling law exciting. Is there any chance that you could share the checkpoints from that figure somehow? I think that would greatly help researchers in the field (akin to OLMO or Pythia in LLMs, I see this scaling set of results could be used in many forms for all sorts of interesting experiments)
puhsu changed discussion title from About the scaling-law checkpoints relases to About the scaling-law checkpoints releases