RRepoGEO

REPOGEO REPORT · LITE

likejazz/llama3.np

Default branch main · commit 7dae0e18 · scanned 6/12/2026, 2:33:03 AM

GitHub: 991 stars · 82 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 likejazz/llama3.np, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llama3, numpy, llm, transformer, deep-learning, machine-learning, ai, educational, inference, cpu, llama-3
  • highreadme#2
    Reposition the README's opening to clarify its educational/research purpose

    Why:

    CURRENT
    # llama3.np

<p align="center">
  
</p>

`llama3.np` is a pure NumPy implementation for Llama 3 model. For an accurate implementation, I ran the stories15M model trained by Andrej Karpathy.
    COPY-PASTE FIX
    # llama3.np: A Pure NumPy Llama 3 Implementation for Education and Research

<p align="center">
  
</p>

`llama3.np` offers a transparent, pure NumPy implementation of the Llama 3 model. It's designed for educational purposes and research into minimal-dependency LLMs, allowing users to understand the architecture and perform CPU-only inference without complex frameworks.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/likejazz/llama3.np

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 likejazz/llama3.np
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NumPy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NumPy · recommended 1×
  2. numpy.einsum · recommended 1×
  3. numpy.linalg · recommended 1×
  4. numpy.random · recommended 1×
  5. scipy.special · recommended 1×
  • CATEGORY QUERY
    How can I implement a transformer-based language model purely using NumPy for research?
    you: not recommended
    AI recommended (in order):
    1. NumPy
    2. numpy.einsum
    3. numpy.linalg
    4. numpy.random
    5. scipy.special
    6. scipy.ndimage
    7. matplotlib
    8. seaborn

    AI recommended 8 alternatives but never named likejazz/llama3.np. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good options for running large language models with minimal dependencies in Python?
    you: not recommended
    AI recommended (in order):
    1. llama-cpp-python (abetlen/llama-cpp-python)
    2. Hugging Face Transformers (huggingface/transformers)
    3. torch.compile
    4. ONNX Runtime (microsoft/onnxruntime)
    5. optimum (huggingface/optimum)
    6. MLX (ml-explore/mlx)
    7. ctransformers (marella/ctransformers)
    8. GPTQ-for-LLaMa (qwopqwop200/GPTQ-for-LLaMa)
    9. TensorRT-LLM (NVIDIA/TensorRT-LLM)
    10. Ollama (ollama/ollama)

    AI recommended 10 alternatives but never named likejazz/llama3.np. 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 likejazz/llama3.np?
    pass
    AI named likejazz/llama3.np explicitly

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

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

    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 likejazz/llama3.np. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/likejazz/llama3.np.svg)](https://repogeo.com/en/r/likejazz/llama3.np)
HTML
<a href="https://repogeo.com/en/r/likejazz/llama3.np"><img src="https://repogeo.com/badge/likejazz/llama3.np.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

likejazz/llama3.np — 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