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zai-org/ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 observed · 2026-08-28

github.com/zai-org/ChatGLM-6B · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

30/100

  • Activity 0
  • Release rhythm 35
  • Longevity 90

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: 1269
  • days_rel: n/a
  • days_push: 797
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

40983 stars · 5109 forks observed · 2026-08-28

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

ChatGLM-6B is an open-source bilingual (Chinese-English) 6.2B-parameter dialogue language model based on the GLM architecture, optimized for Chinese question answering and conversation. It supports INT4 quantization for local deployment on consumer GPUs (as low as 6GB VRAM) and efficient fine-tuning via P-Tuning v2.

Use cases

  • run a chatbot locally on a consumer GPU
  • deploy a bilingual Chinese-English dialogue model
  • fine-tune an LLM for Chinese question answering
  • quantize a 6B language model to fit 6GB VRAM
  • build a self-hosted ChatGPT-like assistant
  • adapt an open dialogue model to a custom domain

When to choose

  • you need a self-hosted bilingual dialogue model with low VRAM requirements
  • your primary use case involves Chinese-language conversation
  • you want to fine-tune an open LLM with P-Tuning v2 on limited hardware

When to avoid

  • you need state-of-the-art performance, since newer GLM-4 models supersede it
  • you require long-context or function-calling features out of the box
  • you need guaranteed output accuracy for safety-critical services

Facets

library · maturity maintenance

llm-inference chatbot machine-learning rag large-language-models artificial-intelligence chatbots python windows bilingual chinese-english glm quantization local-deployment fine-tuning p-tuning open-weights natural-language-processing gpu linux macos

1 source

Member repositories

RepositoryRoleHealth v2
zai-org/ChatGLM-6Bmain30

For agents

markdown · JSON · MCP: product_card(name="zai-org/ChatGLM-6B")

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