GLM-5.2 — DSA indexer weights
The DSA (sparse-attention) indexer weights extracted from
zai-org/GLM-5.2 (743B total / 39B active, MIT),
split out as a standalone ~227 MB artifact.
GLM-5.2's attention uses a learned indexer to select a top-k subset of past tokens once the
context exceeds index_topk, instead of attending densely over everything. Those indexer
tensors are a tiny fraction of the model, but they are needed by any engine that wants to run
GLM-5.2's sparse-attention path — and pulling them out of the full checkpoint otherwise means
downloading ~108 GB of shards to keep ~227 MB.
Contents
out-idx-*.safetensors— the extracted indexer tensorsconfig.json/generation_config.json— GLM-5.2 config (GlmMoeDsaForCausalLM)_meta/— tokenizer files
Use with iliria
iliria runs GLM-5.2 off SSD by streaming experts
from disk. Its converter takes --keep-idx to produce exactly this artifact; this repo saves
you that step. Point the engine at a container that includes these tensors and the DSA path
activates once context passes index_topk.
Provenance
Derived from zai-org/GLM-5.2 (MIT). Extraction only — no retraining, no quantization of the
indexer tensors themselves. The weights are unmodified values lifted from the source
checkpoint.
- Downloads last month
- 18
Model tree for philipjohnbasile/glm52-idx-extract
Base model
zai-org/GLM-5.2