RRepoGEO

REPOGEO REPORT · LITE

henrywoo/chatllama

Default branch main · commit 6e9fabf7 · scanned 5/30/2026, 5:36:56 PM

GitHub: 1,201 stars · 130 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 henrywoo/chatllama, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llama, chatgpt, rlhf, large-language-models, llm, finetuning, deepspeed, single-gpu, machine-learning
  • highreadme#2
    Reposition the README's opening line to clarify core purpose

    Why:

    CURRENT
    > 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT
    COPY-PASTE FIX
    > 📢 Build your own ChatGPT-style assistant with LLaMA and RLHF. This open-source implementation enables 15x faster training on a single GPU compared to traditional ChatGPT methods.
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a new file named `LICENSE` in the root of the repository with the content of the MIT License (or your preferred open-source license).

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 henrywoo/chatllama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 1×
  2. Ollama · recommended 1×
  3. oobabooga/text-generation-webui · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. bitsandbytes · recommended 1×
  • CATEGORY QUERY
    How to build a ChatGPT-style assistant using open-source models on a single GPU?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. text-generation-webui (oobabooga/text-generation-webui)
    4. Hugging Face Transformers
    5. bitsandbytes
    6. accelerate
    7. llama.cpp
    8. llama-cpp-python

    AI recommended 8 alternatives but never named henrywoo/chatllama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an efficient, instruction-tuned language model with faster training than existing solutions.
    you: not recommended
    AI recommended (in order):
    1. Mistral 7B Instruct
    2. Mixtral 8x7B Instruct
    3. Gemma
    4. Llama 3
    5. Phi-3-mini-4k-instruct
    6. TinyLlama 1.1B Chat

    AI recommended 6 alternatives but never named henrywoo/chatllama. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 henrywoo/chatllama?
    pass
    AI named henrywoo/chatllama explicitly

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

  • If a team adopts henrywoo/chatllama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named henrywoo/chatllama 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 henrywoo/chatllama solve, and who is the primary audience?
    pass
    AI did not name henrywoo/chatllama — 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 henrywoo/chatllama. 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)
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henrywoo/chatllama — 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