RRepoGEO

REPOGEO REPORT · LITE

mukel/llama3.java

Default branch main · commit 8cf392d4 · scanned 6/4/2026, 11:58:29 PM

GitHub: 811 stars · 91 forks

AI VISIBILITY SCORE
35 /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
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 mukel/llama3.java, 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 H1 to emphasize "pure Java, no native dependencies"

    Why:

    CURRENT
    Practical Llama 3, 3.1 and 3.2 inference implemented in a single Java file.
    COPY-PASTE FIX
    Practical Llama 3, 3.1 and 3.2 inference implemented in a single, pure Java file with **no native dependencies**.
  • mediumtopics#2
    Add "pure-java" and "single-file" to topics

    Why:

    CURRENT
    chatgpt, genai, gguf, huggingface, java, llama, llama3, llamacpp, llm, llm-inference, llms, openai, simd, transformers
    COPY-PASTE FIX
    chatgpt, genai, gguf, huggingface, java, llama, llama3, llamacpp, llm, llm-inference, llms, openai, simd, transformers, pure-java, single-file
  • lowhomepage#3
    Add a homepage URL to the repository's "About" section

    Why:

    COPY-PASTE FIX
    https://www.youtube.com/watch?v=zgAMxC7lzkc

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 mukel/llama3.java
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
deeplearning4j/deeplearning4j
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. deeplearning4j/deeplearning4j · recommended 1×
  2. microsoft/onnxruntime · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. pytorch/serve · recommended 1×
  • CATEGORY QUERY
    What's the best way to integrate generative AI models locally using Java?
    you: not recommended
    AI recommended (in order):
    1. Deeplearning4j (DL4J) (deeplearning4j/deeplearning4j)
    2. ONNX Runtime (microsoft/onnxruntime)
    3. TensorFlow Lite (tensorflow/tensorflow)
    4. PyTorch (pytorch/pytorch)
    5. TorchServe (pytorch/serve)
    6. Hugging Face Transformers (huggingface/transformers)
    7. DJL (Deep Java Library) (deepjavalibrary/djl)

    AI recommended 7 alternatives but never named mukel/llama3.java. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a single-file Java solution for running quantized open-source language models.
    you: not recommended
    AI recommended (in order):
    1. llama.cpp
    2. llama.cpp-java
    3. jllama.cpp
    4. ONNX Runtime
    5. Deeplearning4j
    6. OpenVINO
    7. NCNN

    AI recommended 7 alternatives but never named mukel/llama3.java. 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 mukel/llama3.java?
    pass
    AI named mukel/llama3.java explicitly

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

  • If a team adopts mukel/llama3.java in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mukel/llama3.java 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 mukel/llama3.java solve, and who is the primary audience?
    pass
    AI named mukel/llama3.java explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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