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GLM-5-381B

0xSero / GLM-5-381B

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Total runs: 35
24-hour runs: 0
7-day runs: -12
30-day runs: -19
Model's Last Updated: May 30 2026
text-generation

Introduction of GLM-5-381B

Model Details of GLM-5-381B

Support this work → · X · GitHub · REAP paper · Cerebras REAP

GLM-5-381B

REAP-pruned zai-org/GLM-5 .

At a glance
Base model zai-org/GLM-5
Format BF16
Total params 381B
Active / token —
Experts / layer 128
Layers 78
Hidden size 6144
Context 202,752
On-disk size 1147 GB
Which variant should I pick?
Variant Format Link
GLM-5-381B (this) BF16 link
GLM-5-381B-GGUF-BF16 GGUF link
GLM-5-381B-GGUF-IQ2_M GGUF link
GLM-5-381B-GGUF-IQ2_XXS GGUF link
GLM-5-381B-GGUF-Q3_K_M GGUF link
GLM-5-381B-W3A16 W3A16 link
glm5-reap-observations BF16 link

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: 762,928,740,864 bytes
  • 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.safetensors through model-00017-of-00017.safetensors
  • model.safetensors.index.json
  • config.json
  • generation_config.json
  • chat_template.jinja
  • tokenizer.json
  • tokenizer_config.json
  • reap_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 .
License & citation

License inherited from the base model. 

@misc{lasby2025reap,
  title  = {REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression},
  author = {Mike Lasby and Ivan Lazarevich and Nish Sinnadurai and Sean Lie and Yani Ioannou and Vithursan Thangarasa},
  year   = {2025}, eprint = {2510.13999}, archivePrefix = {arXiv}
}
Sponsors

Made possible by NVIDIA · TNG Technology · Lambda · Prime Intellect · Hot Aisle .

Runs of 0xSero GLM-5-381B on huggingface.co

35
Total runs
0
24-hour runs
-5
3-day runs
-12
7-day runs
-19
30-day runs

More Information About GLM-5-381B huggingface.co Model

More GLM-5-381B license Visit here:

https://choosealicense.com/licenses/apache-2.0

GLM-5-381B huggingface.co

GLM-5-381B huggingface.co is an AI model on huggingface.co that provides GLM-5-381B's model effect (), which can be used instantly with this 0xSero GLM-5-381B model. huggingface.co supports a free trial of the GLM-5-381B model, and also provides paid use of the GLM-5-381B. Support call GLM-5-381B model through api, including Node.js, Python, http.

GLM-5-381B huggingface.co Url

https://huggingface.co/0xSero/GLM-5-381B

0xSero GLM-5-381B online free

GLM-5-381B huggingface.co is an online trial and call api platform, which integrates GLM-5-381B's modeling effects, including api services, and provides a free online trial of GLM-5-381B, you can try GLM-5-381B online for free by clicking the link below.

0xSero GLM-5-381B online free url in huggingface.co:

https://huggingface.co/0xSero/GLM-5-381B

GLM-5-381B install

GLM-5-381B is an open source model from GitHub that offers a free installation service, and any user can find GLM-5-381B on GitHub to install. At the same time, huggingface.co provides the effect of GLM-5-381B install, users can directly use GLM-5-381B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

GLM-5-381B install url in huggingface.co:

https://huggingface.co/0xSero/GLM-5-381B

Url of GLM-5-381B

GLM-5-381B huggingface.co Url

Provider of GLM-5-381B huggingface.co

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