RRepoGEO

REPOGEO REPORT · LITE

camenduru/text-generation-webui-colab

Default branch main · commit 0f3127ff · scanned 5/19/2026, 10:03:37 AM

GitHub: 2,096 stars · 356 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 camenduru/text-generation-webui-colab, 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
    Add a clear, concise value proposition to the README's opening

    Why:

    CURRENT
    The README currently starts with social links and a 'WIP' notice, followed by a table of Colab links.
    COPY-PASTE FIX
    Add a prominent opening paragraph to the README, for example: 'This repository provides a collection of one-click Google Colab notebooks for easily running oobabooga's text-generation-webui with various Large Language Models (LLMs) like Vicuna, Alpaca, and Koala. Get started quickly with pre-configured environments on free cloud GPUs.'
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/camenduru/text-generation-webui-colab
  • lowtopics#3
    Expand repository topics to include 'oobabooga' and 'text-generation-webui'

    Why:

    CURRENT
    alpaca, colab, colab-notebook, colaboratory, gradio, koala, lama, llama, llamas, llm, vicuna
    COPY-PASTE FIX
    alpaca, colab, colab-notebook, colaboratory, gradio, koala, lama, llama, llamas, llm, vicuna, oobabooga, text-generation-webui

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 camenduru/text-generation-webui-colab
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 2×
  2. Google Colaboratory (Colab) · recommended 1×
  3. gradio-app/gradio · recommended 1×
  4. streamlit/streamlit · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    How can I run large language models with a web UI on a free cloud GPU?
    you: not recommended
    AI recommended (in order):
    1. Google Colaboratory (Colab)
    2. Gradio (gradio-app/gradio)
    3. Streamlit (streamlit/streamlit)
    4. transformers (huggingface/transformers)
    5. Hugging Face
    6. bitsandbytes (TimDettmers/bitsandbytes)
    7. accelerate (huggingface/accelerate)
    8. Hugging Face Spaces
    9. Kaggle Notebooks
    10. Google Cloud Platform (GCP)
    11. Compute Engine
    12. Flask (pallets/flask)
    13. Django (django/django)
    14. AWS
    15. EC2
    16. AutoGPTQ (PanQiWei/AutoGPTQ)

    AI recommended 16 alternatives but never named camenduru/text-generation-webui-colab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the easiest way to experiment with open-source LLMs like Alpaca or Vicuna using Colab?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library (huggingface/transformers)
    2. text-generation-webui (oobabooga/text-generation-webui)
    3. llama.cpp (ggerganov/llama.cpp)
    4. ctransformers (marella/ctransformers)

    AI recommended 4 alternatives but never named camenduru/text-generation-webui-colab. 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 camenduru/text-generation-webui-colab?
    pass
    AI did not name camenduru/text-generation-webui-colab — 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 camenduru/text-generation-webui-colab in production, what risks or prerequisites should they evaluate first?
    pass
    AI named camenduru/text-generation-webui-colab 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 camenduru/text-generation-webui-colab solve, and who is the primary audience?
    pass
    AI did not name camenduru/text-generation-webui-colab — 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?

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camenduru/text-generation-webui-colab — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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camenduru/text-generation-webui-colab — RepoGEO report