4 ms·
does this suggest 5.3 is the same # of parameters as 5.2?
by tjwebbnorfolk 2mo ago
does this suggest 5.3 is the same # of parameters as 5.2?
- fahrradflucht 2mo ago“Today we are releasing GLM-5.3. It uses the same base model as GLM-5.2 — every gain comes from post-training.“
- tjwebbnorfolk 2mo agoI was asking if this implies that 5.3 has the same number of parameters as 5.2. I can, in fact, read. What I didn't do is understand the implication of that statement. Thank you for your copy/paste service.
- fahrradflucht 2mo agoApologies then. The not-reading-the-article crowd was going strong that day and it looks like you caught a stray.
- unrvl22 2mo agowhich is the bigger headline that people don't realize. this is 744b and its head to head with Kimi K3 (2.8T), smashes DS v4 pro (1.5T). even Opus and Sol are rumored to be 1.5T+ this is half the size!
- Havoc 2mo agoYou do need to compare active parameter too though. The total size isn’t a reliable indicator anymore
- AureliusMA 2mo agoin terms of performance the formula seems to be : dense parameters = sqrt(total*active)
- davidlt 2mo agoIt's the same pre-training, they are just adding more (+ better) SFT, RL, etc. (post-training). Model internal knowledge cut-off is still the same. It seems we are doing pre-training every 6 months, and post-training every 4-8 weeks now.