fwpkm-l12-gdn-pkm6-fwpkm2_10

This research checkpoint has 12 layers and combines gated deltanet with static and fast-weight product-key memory.

Research release

The checkpoint selects a specific memory architecture

Every layer uses linear attention. The two fast-weight memory layers supplement the static layer.fwpkm-l12-gdn-pkm6-fwpkm2_10 released configuration

Keep memory state explicit in an experiment

Practical guidance. Record when memory is reset and how many times a document is read. Compare equal protocols; extra passes can change results without changing the checkpoint.

Specifications & access

fwpkm-l12-gdn-pkm6-fwpkm2_10 specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersSakanaAI/fwpkm-l12-gdn-pkm6-fwpkm2_10
ArchitectureQwen3NextMemForCausalLM; hidden width 768.fwpkm-l12-gdn-pkm6-fwpkm2_10 released configuration
Static-memory layer indices6.fwpkm-l12-gdn-pkm6-fwpkm2_10 released configuration
Fast-weight layer indices2, 10.fwpkm-l12-gdn-pkm6-fwpkm2_10 released configuration
Weight termsThe reviewed repository provides weights but no explicit checkpoint license.fwpkm-l12-gdn-pkm6-fwpkm2_10 weights and file listing