RRepoGEO

REPOGEO REPORT · LITE

TsinghuaAI/CPM-1-Generate

Default branch main · commit 3f816d13 · scanned 5/12/2026, 1:57:53 PM

GitHub: 1,581 stars · 210 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface TsinghuaAI/CPM-1-Generate, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening sentence for clarity

    Why:

    CURRENT
    # CPM-Generate

为了促进中文自然语言处理研究的发展，本项目提供了 **CPM-LM** (2.6B) 模型的文本生成代码，可用于文本生成的本地测试，并以此为基础进一步研究零次学习/少次学习等场景。
    COPY-PASTE FIX
    # CPM-1-Generate: Official Text Generation Code for CPM-LM (2.6B) Chinese Pre-Trained Language Model

This repository provides the official PyTorch code for text generation and local inference with **CPM-LM** (2.6B), a Chinese Pre-Trained Language Model. It enables local testing for text generation and serves as a foundation for research into zero-shot/few-shot learning scenarios.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    chinese-nlp, large-language-model, text-generation, pretrained-model, deep-learning, pytorch, cpm-lm, nlp-research, local-inference
  • mediumabout#3
    Update the repository description for clarity and keywords

    Why:

    CURRENT
    Chinese Pre-Trained Language Models (CPM-LM) Version-I
    COPY-PASTE FIX
    Official PyTorch code for text generation and local inference with CPM-LM (2.6B), a Chinese Pre-Trained Language Model.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface TsinghuaAI/CPM-1-Generate
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Baidu ERNIE
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Baidu ERNIE · recommended 1×
  2. Tencent Hunyuan · recommended 1×
  3. Tongyi Qianwen · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. Meta LLaMA 2 · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality text using a pre-trained Chinese language model?
    you: not recommended
    AI recommended (in order):
    1. Baidu ERNIE
    2. Tencent Hunyuan
    3. Tongyi Qianwen
    4. OpenAI GPT-4
    5. Meta LLaMA 2
    6. Google PaLM 2 / Gemini

    AI recommended 6 alternatives but never named TsinghuaAI/CPM-1-Generate. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for local inference of large Chinese language models on GPU?
    you: not recommended
    AI recommended (in order):
    1. vLLM
    2. TGI (Text Generation Inference) by Hugging Face
    3. llama.cpp
    4. TensorRT-LLM
    5. OpenVINO
    6. DeepSpeed-MII

    AI recommended 6 alternatives but never named TsinghuaAI/CPM-1-Generate. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of TsinghuaAI/CPM-1-Generate?
    pass
    AI did not name TsinghuaAI/CPM-1-Generate — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts TsinghuaAI/CPM-1-Generate in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TsinghuaAI/CPM-1-Generate explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo TsinghuaAI/CPM-1-Generate solve, and who is the primary audience?
    pass
    AI did not name TsinghuaAI/CPM-1-Generate — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite