Big Tech is spending more than space-race levels on artificial intelligence infrastructure, but hidden loans and commitments mask the true financial risks
My question is this model is it open source or is it open weight because there is a difference. Open source gives you access to the training data that was used for the model. It gives you the code used to make the model. It gives you checkpoints during training of the model and methodologies that were used to train the model, etc.
Open weight models, however, don’t give you access to the training data or snapshots during training. Mainly, they just give the methodology and what they weighted the data as.
The only fully open source model I am aware of, personally, is OLMO from AI2.
Sorry I am mixing up my news. SubQ is not actually open source. I was confusing with the open source GLM5.2 which is also near frontier level but not lightweight. I edited my original post to reflect that.
My question is this model is it open source or is it open weight because there is a difference. Open source gives you access to the training data that was used for the model. It gives you the code used to make the model. It gives you checkpoints during training of the model and methodologies that were used to train the model, etc.
Open weight models, however, don’t give you access to the training data or snapshots during training. Mainly, they just give the methodology and what they weighted the data as.
The only fully open source model I am aware of, personally, is OLMO from AI2.
Sorry I am mixing up my news. SubQ is not actually open source. I was confusing with the open source GLM5.2 which is also near frontier level but not lightweight. I edited my original post to reflect that.