REPOGEO REPORT · LITE

bilibili/Index-1.9B

Default branch main · commit 57c81280 · scanned 5/16/2026, 8:12:58 PM

GitHub: 1,016 stars · 49 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 bilibili/Index-1.9B, 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 concise, descriptive tagline to the README's opening

Why:

CURRENT

<div align="center">
<h1>
  Index-1.9B
</h1>
</div>
<p align="center">
  <a href="./README_zh.md" target="_blank">切换到中文</a> |

COPY-PASTE FIX

<div align="center">
<h1>
  Index-1.9B
</h1>
</div>
<p align="center">
  Index-1.9B is a lightweight, multilingual Large Language Model (LLM) series, specifically optimized for Chinese and English text with a 32K long context window, designed for efficient local deployment.
</p>
<p align="center">
  <a href="./README_zh.md" target="_blank">切换到中文</a> |

mediumtopics#2
Expand repository topics with more specific LLM keywords
Why:
CURRENT
```
llm, nlp
```
COPY-PASTE FIX
```
llm, nlp, multilingual-llm, chinese-llm, compact-llm, long-context-llm
```
lowhomepage#3
Add a homepage link to the repository metadata
Why:
COPY-PASTE FIX
```
https://huggingface.co/spaces/IndexTeam/Index-1.9B
```

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 bilibili/Index-1.9B

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Mistral 7B

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Mistral 7B · recommended 2×
Gemma 2B · recommended 2×
Phi-2 · recommended 2×
TinyLlama 1.1B · recommended 2×
OpenOrca-Mistral-7B · recommended 1×

CATEGORY QUERY
What are some compact multilingual LLMs suitable for local deployment on consumer hardware?
you: not recommended
AI recommended (in order):
1. Mistral 7B
2. OpenOrca-Mistral-7B
3. Zephyr-7B-beta
4. Gemma 2B
5. Gemma 7B
6. Phi-2
7. TinyLlama 1.1B
8. Qwen-1.8B
9. Qwen-7B
10. Llama 2 7B
AI recommended 10 alternatives but never named bilibili/Index-1.9B. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a small language model with long context window for Chinese and English text.
you: not recommended
AI recommended (in order):
1. Qwen-1.8B-LongContext
2. Mistral 7B
3. Phi-2
4. Gemma 2B
5. TinyLlama 1.1B
6. OpenLLaMA 3B/7B
AI recommended 6 alternatives but never named bilibili/Index-1.9B. 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 bilibili/Index-1.9B?
pass
AI did not name bilibili/Index-1.9B — 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 bilibili/Index-1.9B in production, what risks or prerequisites should they evaluate first?
pass
AI named bilibili/Index-1.9B 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 bilibili/Index-1.9B solve, and who is the primary audience?
pass
AI did not name bilibili/Index-1.9B — 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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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/bilibili/Index-1.9B.svg)](https://repogeo.com/en/r/bilibili/Index-1.9B)

HTML

<a href="https://repogeo.com/en/r/bilibili/Index-1.9B"><img src="https://repogeo.com/badge/bilibili/Index-1.9B.svg" alt="RepoGEO" /></a>

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bilibili/Index-1.9B — 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