zai-org/GLM-130B

• hightopics#1

  Add relevant topics for better categorization

  原因：

  复制粘贴的修复

  复制

  large-language-model, llm, nlp, chinese-english, bilingual, pre-trained-model, deep-learning, machine-learning, gpu-inference, a100

  待办完成忽略
• highreadme#2

  Strengthen README's opening value proposition for AI

  原因：

  当前

  GLM-130B is an open bilingual (English & Chinese) bidirectional dense model with 130 billion parameters, pre-trained using the algorithm of General Language Model (GLM). It is designed to support inference tasks with the 130B parameters on **a single A100 (40G * 8)** or **V100 (32G * 8) server**. With INT4 quantization, the hardware requirements can further be reduced to **a single server with 4 * RTX 3090 (24G)** with **almost no performance degradation**.

  复制粘贴的修复

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  GLM-130B is a groundbreaking open bilingual (English & Chinese) 130-billion-parameter model, uniquely engineered for efficient inference on a single A100 or V100 GPU server. Leveraging the General Language Model (GLM) algorithm, it offers high-performance NLP capabilities with significantly reduced hardware requirements, even supporting 4 * RTX 3090 with INT4 quantization.

  待办完成忽略
• mediumhomepage#3

  Add a homepage URL to the repository metadata

  原因：

  复制粘贴的修复

  复制

  http://keg.cs.tsinghua.edu.cn/glm-130b/posts/glm-130b/

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  What open-source large language models support both English and Chinese text generation?

  你：未被推荐
  AI 推荐顺序：

  1. Baichuan 2
  2. Qwen
  3. InternLM
  4. Llama 2
  5. Chinese-Llama-2
  6. BLOOM

  AI 推荐了 6 个替代方案，却始终没点名 zai-org/GLM-130B。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Looking for a powerful pre-trained model for inference on a single A100 GPU.

  你：未被推荐
  AI 推荐顺序：

  1. Llama 3 8B Instruct
  2. Mistral 7B Instruct v0.2
  3. Gemma 7B Instruct
  4. Mixtral 8x7B Instruct v0.1
  5. Stable Diffusion XL (SDXL)
  6. Diffusers
  7. Whisper Large-v3

  AI 推荐了 7 个替代方案，却始终没点名 zai-org/GLM-130B。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of zai-org/GLM-130B?

  pass
  ⚠AI 未点名 zai-org/GLM-130B —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts zai-org/GLM-130B in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 zai-org/GLM-130B

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo zai-org/GLM-130B solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 zai-org/GLM-130B

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？