THUDM/GLM
GLM (General Language Model) 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
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- you need actively maintained tooling - this repo is largely superseded by newer GLM releases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
- readme: https://github.com/THUDM/GLM · fetched 2026-08-28 · f2dbcc14097b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| THUDM/GLM | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem