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THUDM/GLM

GLM (General Language Model) observed · 2026-08-28

github.com/THUDM/GLM · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1994
  • days_rel: n/a
  • days_push: 1034
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3652 stars · 372 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GLM is a general language model pretrained with an autoregressive blank-filling objective, released with pretrained checkpoints and fine-tuning code for NLU and generation tasks. It is the research codebase behind the GLM model family, including ChatGLM-6B.

Use cases

  • finetune a pretrained language model on text classification tasks
  • run autoregressive blank-infilling pretraining
  • generate text with a GLM checkpoint
  • experiment with Chinese and English language model pretraining
  • reproduce ACL 2022 GLM paper results

When to choose

  • you want to finetune or study the original GLM architecture from the research paper
  • you need pretrained bilingual English/Chinese checkpoints for NLU or generation

When to avoid

  • you want a production chat model - use ChatGLM or GLM-4 repos instead
  • you need actively maintained tooling - this repo is largely superseded by newer GLM releases

Facets

library · maturity maintenance

machine-learning nlp llm-training llm-inference large-language-models deep-learning python pretrained-language-model blank-infilling chinese-nlp transformers fine-tuning natural-language-processing linux gpu

1 source

Member repositories

RepositoryRoleHealth v2
THUDM/GLMmain32

For agents

markdown · JSON · MCP: product_card(name="THUDM/GLM")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem