REPOGEO REPORT · LITE

camenduru/text-generation-webui-colab

Default branch main · commit 0f3127ff · scanned 6/30/2026, 6:48:12 PM

GitHub: 2,091 stars · 357 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

28 /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

2 / 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

Reposition README opening to clearly state purpose and connection to oobabooga/text-generation-webui

Why:

CURRENT

🐣 Please follow me for new updates https://twitter.com/camenduru <br />
🔥 Please join our discord server https://discord.gg/k5BwmmvJJU <br />
🥳 Please join my patreon community https://patreon.com/camenduru <br />

## 🚦 WIP 🚦

COPY-PASTE FIX

This repository provides pre-configured Google Colab notebooks for running `oobabooga/text-generation-webui` with various Large Language Models (LLMs) like Vicuna, Alpaca, and Koala. Easily deploy and interact with LLMs in a web UI directly from Colab, bypassing local hardware requirements.

mediumhomepage#2
Add the repository's GitHub URL as the homepage
Why:
COPY-PASTE FIX
```
https://github.com/camenduru/text-generation-webui-colab
```
lowreadme#3
Rephrase or remove the 'WIP' section in the README
Why:
CURRENT
```
## 🚦 WIP 🚦
```
COPY-PASTE FIX
```
## ✨ Continuously Updated Colab Notebooks ✨
```

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

Of all named tools, what % are you?

Top rival

oobabooga/text-generation-webui

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

oobabooga/text-generation-webui · recommended 1×
Gradio · recommended 1×
Hugging Face Transformers · recommended 1×
LM Studio · recommended 1×
KoboldAI Lite · recommended 1×

CATEGORY QUERY
How can I easily run various large language models in a Colab environment with a web UI?
you: not recommended
AI recommended (in order):
1. oobabooga/text-generation-webui (oobabooga/text-generation-webui)
2. Gradio
3. Hugging Face Transformers
4. LM Studio
5. KoboldAI Lite
6. Hugging Face Spaces
AI recommended 6 alternatives but never named camenduru/text-generation-webui-colab. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best ways to quickly deploy and interact with Alpaca or Vicuna models on Colab?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers (huggingface/transformers)
2. pipeline
3. bitsandbytes (TimDettmers/bitsandbytes)
4. llama.cpp (ggerganov/llama.cpp)
5. ctransformers (marella/ctransformers)
6. vLLM (vllm-project/vllm)
AI recommended 6 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 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?
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?

Embed your GEO score

Drop this badge into the README of camenduru/text-generation-webui-colab. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/camenduru/text-generation-webui-colab.svg)](https://repogeo.com/en/r/camenduru/text-generation-webui-colab)

HTML

<a href="https://repogeo.com/en/r/camenduru/text-generation-webui-colab"><img src="https://repogeo.com/badge/camenduru/text-generation-webui-colab.svg" alt="RepoGEO" /></a>

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

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite