REPOGEO REPORT · LITE

CrazyBoyM/llama3-Chinese-chat

Default branch main · commit 80204c0e · scanned 5/21/2026, 9:43:17 PM

GitHub: 4,158 stars · 335 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

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 CrazyBoyM/llama3-Chinese-chat, 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 the README H1 to specify category and purpose

Why:

CURRENT

# llama3-Chinese-chat
[](https://openbayes.com/console/hyperai-tutorials/containers/EzsoQaZB8LA)  &ensp;  
### 1st version of Chinese-llama3

COPY-PASTE FIX

# llama3-Chinese-chat: The First Open-Source Llama 3 Model Fine-Tuned for Chinese Conversational AI

This repository provides the first open-source Llama 3 model specifically fine-tuned for robust Chinese conversational AI, offering pre-trained weights, training resources, and inference guides.

mediumabout#2

Expand the 'About' description for clarity

Why:

CURRENT

Llama3-中文后训练版

COPY-PASTE FIX

An open-source Llama 3 model specifically fine-tuned for robust Chinese conversational AI, providing pre-trained weights and training resources for developers and researchers.

mediumreadme#3

Add a 'Why Choose This?' section to the README

Why:

COPY-PASTE FIX

## Why Choose llama3-Chinese-chat?

Unlike proprietary commercial APIs or general-purpose base models, `llama3-Chinese-chat` offers a fully open-source, fine-tuned Llama 3 solution specifically optimized for Chinese conversational use cases. This provides developers with complete control, cost-effectiveness for self-hosting, and the flexibility of community-driven development for building advanced Chinese LLM applications.

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 CrazyBoyM/llama3-Chinese-chat

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Baidu ERNIE

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Baidu ERNIE · recommended 1×
Tencent Hunyuan-DiT · recommended 1×
Alibaba Tongyi Qianwen · recommended 1×
OpenAI GPT-3.5 / GPT-4 · recommended 1×
Meta Llama 2 / Llama 3 · recommended 1×

CATEGORY QUERY
Where can I find a robust language model fine-tuned specifically for conversational Chinese?
you: not recommended
AI recommended (in order):
1. Baidu ERNIE
2. Tencent Hunyuan-DiT
3. Alibaba Tongyi Qianwen
4. OpenAI GPT-3.5 / GPT-4
5. Meta Llama 2 / Llama 3
6. GLM by Zhipu.ai
AI recommended 6 alternatives but never named CrazyBoyM/llama3-Chinese-chat. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best methods or models for post-training an LLM to support Chinese effectively?
you: not recommended
AI recommended (in order):
1. COIG
2. BELLE
3. Alpaca-GPT4-Chinese
4. Chinese Wikipedia
5. People's Daily
6. Xinhua News
7. Chinese Medical Dialogue Dataset
8. Chinese Legal Judgment Prediction Dataset
9. WuDaoCorpora
10. Common Crawl
11. Baidu Baike
12. Zhihu
13. LoRA
14. QLoRA
15. OpenAssistant Conversations Dataset
16. GLM-4
17. GLM-4V
18. Qwen2
19. Yi-34B
20. Yi-VL
AI recommended 20 alternatives but never named CrazyBoyM/llama3-Chinese-chat. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 CrazyBoyM/llama3-Chinese-chat?
pass
AI did not name CrazyBoyM/llama3-Chinese-chat — 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 CrazyBoyM/llama3-Chinese-chat in production, what risks or prerequisites should they evaluate first?
pass
AI named CrazyBoyM/llama3-Chinese-chat 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 CrazyBoyM/llama3-Chinese-chat solve, and who is the primary audience?
pass
AI did not name CrazyBoyM/llama3-Chinese-chat — 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 CrazyBoyM/llama3-Chinese-chat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/CrazyBoyM/llama3-Chinese-chat.svg)](https://repogeo.com/en/r/CrazyBoyM/llama3-Chinese-chat)

HTML

<a href="https://repogeo.com/en/r/CrazyBoyM/llama3-Chinese-chat"><img src="https://repogeo.com/badge/CrazyBoyM/llama3-Chinese-chat.svg" alt="RepoGEO" /></a>

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CrazyBoyM/llama3-Chinese-chat — 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