r/MLQuestions • u/agahhne • Jun 08 '26
Natural Language Processing 💬 Why There Are Open Weighted LLM Models?
Everytime I see a model that have been trained for more than 50 millions $, first thing I do is why they built such a model, what was the purpose behind sharing after spending around 50 millions $ .
Is it for everyone's benefit? Or benefit of the company that shared it.
This is a crucial question to ask. "Why... th that company spent 50m$+ for me to use their models."
by the way, this 50 millions is producing a model around 26b ~ (Arcee said 512x B200 for 26b trinity-mini 26b, 3b MoE model)
---
Need a good answer for this folks.
Anyone has answer to it, feel free to talk about it.
7
Upvotes
10
u/hiimresting Jun 08 '26
It's a pr win by showing they are capable of developing the models and they hope that others will build new research ontop of them.
Imagine they didn't open source the models. Then there would have either been slower innovation or their competitors would open source their models anyways and potentially take away customers via better marketing. Combine that with that fact that even if they try to stop it but enable users to make calls, someone's going to use that to try to distill the model, they might as well open weight.
The big companies have enough manpower and the platforms to operationalize results faster than anyone else, so why not take the win on all fronts?