RRepoGEO

REPOGEO REPORT · LITE

VinAIResearch/PhoGPT

Default branch main · commit 92f7d303 · scanned 5/30/2026, 3:18:01 PM

GitHub: 792 stars · 75 forks

AI VISIBILITY SCORE
69 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 VinAIResearch/PhoGPT, 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
    Emphasize instruction-following capability in README introduction

    Why:

    CURRENT
    We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. The base model, PhoGPT-4B, with exactly 3.7B parameters, is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length, employing a vocabulary of 20K token types. The chat variant, PhoGPT-4B-Chat, is the modeling output obtained by fine-tuning PhoGPT-4B on a dataset of 70K instructional prompts and their responses, along with an additional 290K conversations. We demonstrate its superior performance compared to previous open-source models.
    COPY-PASTE FIX
    We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat, which is specifically designed for instruction following. The base model, PhoGPT-4B, with exactly 3.7B parameters, is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length, employing a vocabulary of 20K token types. The chat variant, PhoGPT-4B-Chat, is the modeling output obtained by fine-tuning PhoGPT-4B on a dataset of 70K instructional prompts and their responses, along with an additional 290K conversations. We demonstrate its superior performance compared to previous open-source models.
  • mediumhomepage#2
    Add the technical report URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2310.04673
  • lowtopics#3
    Add 'chat-model' to repository topics

    Why:

    CURRENT
    generative-pre-trained-transformer, gpt, instruction-following, llm, phogpt, vietnamese, vietnamese-nlp
    COPY-PASTE FIX
    generative-pre-trained-transformer, gpt, instruction-following, llm, phogpt, vietnamese, vietnamese-nlp, chat-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
1 / 2
50% of queries surface VinAIResearch/PhoGPT
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
ViT5
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ViT5 · recommended 1×
  2. BLOOM · recommended 1×
  3. mT5 · recommended 1×
  4. LLaMA / LLaMA 2 · recommended 1×
  5. GPT-J · recommended 1×
  • CATEGORY QUERY
    What are the best open-source generative language models for Vietnamese text generation?
    you: #1
    AI recommended (in order):
    1. PhoGPT ← you
    2. ViT5
    3. BLOOM
    4. mT5
    5. LLaMA / LLaMA 2
    6. GPT-J
    Show full AI answer
  • CATEGORY QUERY
    Seeking a large language model capable of instruction following for Vietnamese natural language processing.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. GPT-3.5 Turbo
    3. Claude 3 Opus
    4. Claude 3 Sonnet
    5. Gemini 1.5 Pro
    6. Mistral Large
    7. ViLLM

    AI recommended 7 alternatives but never named VinAIResearch/PhoGPT. 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 VinAIResearch/PhoGPT?
    pass
    AI named VinAIResearch/PhoGPT explicitly

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

  • If a team adopts VinAIResearch/PhoGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VinAIResearch/PhoGPT 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 VinAIResearch/PhoGPT solve, and who is the primary audience?
    pass
    AI named VinAIResearch/PhoGPT explicitly

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

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VinAIResearch/PhoGPT — 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