zai-org/GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型 observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 96
- Release rhythm 35
- Longevity 60
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: 840
- days_rel: n/a
- days_push: 28
- n_releases_24m: 0
Adoption not part of the score
7070 stars · 611 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Official repository for the GLM-4 series of open-weight, multilingual (primarily Chinese/English) multimodal chat language models from Z.ai (Zhipu AI), spanning base chat models like GLM-4-9B and GLM-4-32B, the GLM-Z1 reasoning variants, and GLM-4V vision-language models. It ships model weights alongside inference examples, fine-tuning scripts, and deployment guides for frameworks like transformers and vLLM.
Use cases
- run a GLM-4 chat model locally on my own GPU
- self-host an open-source alternative to GPT-4o
- fine-tune a multilingual chat LLM for my domain
- download GLM-4 or GLM-Z1 model weights from Hugging Face
- deploy a bilingual Chinese-English dialogue model
- use a reasoning LLM for math, code, and logic tasks
- set up an LLM with function calling for agent workflows
When to choose
- You want open-weights chat LLMs you can deploy on-premises or on your own hardware
- You need strong bilingual Chinese/English dialogue, reasoning, or coding capabilities at 9B-32B scale
- You want to fine-tune or apply reinforcement learning to a mid-size agent-capable model
- You need vision-language (GLM-4V) or deep-thinking (GLM-Z1) variants from the same model family
When to avoid
- You only want a hosted commercial API without managing GPUs or model weights
- You require frontier-scale performance beyond what 32B open weights deliver
- Your hardware cannot accommodate 9B+ parameter models even in quantized form
- You need a fully managed, multimodal production service rather than DIY deployment
Facets
library · maturity active
llm-inference llm-training chatbot deep-learning nlp agent-framework artificial-intelligence large-language-models machine-learning deep-learning chatbots python open-weights glm-4 chatglm multilingual multimodal fine-tuning transformers vllm reasoning-model function-calling self-hosted-llm huggingface zhipu-ai natural-language-processing gpu
1 source
- readme: https://github.com/zai-org/GLM-4 · fetched 2026-08-28 · 547a67201178
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| zai-org/GLM-4 | main | 67 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem