1. Gemma-4 we re-uploaded 4 times - 3 times were 10-20 llama.cpp bug fixes - we had to notify people to upload the correct ones. The 4th is an official Gemma chat template improvement from Google themselves.

2. Qwen3.5 - we shared our 7TB research artifacts showing which layers not to quantize - all provider's quants were under optimized, not broken - ssm_out and ssm_* tensors were the issue - we're now the best in terms of KLD and disk space

3. MiniMax 2.7 - we swiftly fixed it due to NaN PPL - we found the issue in all quants regardless of provider - so it affected everyone not just us. We wrote a post on it, and fixed it - others have taken our fix and fixed their quants, whilst some haven't updated.

Note we also fixed bugs in many OSS models like Gemma 1, Gemma 3, Llama chat template fixes, Mistral, and many more.

Unfortunately sometimes quants break, but we fix them quickly, and 95% of times these are out of our hand.

We swiftly and quickly fix them, and write up blogs on what happened. Other providers simply just take our blogs and fixes and re-apply, re-use our fixes.

Thanks for all the amazing work Daniel. I remember you guys being late to OH because you were working on weights released the night before - and it's great to see you guys keep up the speed!

Fair enough, appreciate the detailed response! Can you elaborate why other quantizations weren't affected (e.g. bartowski)? Simply because they were straight Q4 etc. for every layer?