GLM-5-381464351232-REAP
This repository now hosts the BF16 GLM-5 checkpoint produced by a 50% REAP prune. The actual checkpoint contents are the BF16 files described below.
Checkpoint
- Base model:
GLM-5-BF16 - Architecture:
GlmMoeDsaForCausalLM - Method:
refusal_contrast_reap - Compression ratio:
0.50 - Seed:
42 - Router renormalization:
true - Parameters:
381,464,351,232 - Total safetensors size:
762,928,740,864bytes - Shards:
17 - Precision:
BF16
Provenance
- Observation run:
glm5-grouped-22k-20260331T172330Z - Calibration dataset:
combined - Prune output directory:
/data0/external_research/glm5-layerwise-reap-artifacts/GLM-5-BF16/combined/pruned_models/layerwise_refusal_contrast_reap-renorm_true-seed_42-0.50
Files
model-00001-of-00017.safetensorsthroughmodel-00017-of-00017.safetensorsmodel.safetensors.index.jsonconfig.jsongeneration_config.jsonchat_template.jinjatokenizer.jsontokenizer_config.jsonreap_layerwise_args.yaml
Notes
- This upload replaces the older multi-shard checkpoint previously hosted in this repo.
- The metadata above reflects the actual checkpoint contents as of
2026-04-05.
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Base model
zai-org/GLM-5