Edit ‘autogollark’

This commit is contained in:
osmarks
2026-02-08 21:02:40 +00:00
committed by wikimind
parent 89b5d35a7f
commit 7ea798de80

View File

@@ -36,6 +36,7 @@ Autogollark currently comprises the dataset, the search API server and the [[htt
* ~~Pending:~~ Resource now available: [[XEROGRAPHIC BIFROST]] phase 3.
* https://arxiv.org/abs/2507.07101
* https://arxiv.org/abs/2507.01335
* https://arxiv.org/abs/2510.14901
* https://github.com/d0rc/egg.c and https://eshyperscale.github.io/. Does this actually work (at scale)? Why? Would be really nice for using AMX units.
* Maybe compute grants are available for training.
* Substantial bandwidth bottleneck on CPU (230GB/s nominal; 200GB/s benchmarked; 100GB/s per NUMA node, which llama.cpp handles awfully). Specdec/MTP would be useful.