RRepoGEO

REPOGEO REPORT · LITE

kyuz0/amd-strix-halo-toolboxes

Default branch main · commit 6318f024 · scanned 6/26/2026, 12:08:48 AM

GitHub: 1,681 stars · 164 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 kyuz0/amd-strix-halo-toolboxes, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the repository

    Why:

    COPY-PASTE FIX
    Pre-built containerized toolboxes for running Llama.cpp and other LLMs efficiently on AMD Ryzen AI Max 'Strix Halo' integrated GPUs.
  • highreadme#2
    Refine the README's opening paragraph for clarity on LLM focus

    Why:

    CURRENT
    # AMD Strix Halo Llama.cpp Toolboxes

This project provides pre-built containers (“toolboxes”) for running LLMs on **AMD Ryzen AI Max “Strix Halo”** integrated GPUs. Toolbx is the standard developer container system in Fedora (and now works on Ubuntu, openSUSE, Arch, etc).
    COPY-PASTE FIX
    # AMD Strix Halo Llama.cpp Toolboxes

This project provides pre-built, optimized containerized environments (“toolboxes”) specifically designed for running **Llama.cpp and other Large Language Models (LLMs)** on **AMD Ryzen AI Max “Strix Halo”** integrated GPUs. Leveraging Toolbx, the standard developer container system, these toolboxes offer a streamlined and high-performance solution for AI inference on Strix Halo hardware.

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 kyuz0/amd-strix-halo-toolboxes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
llama.cpp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. llama.cpp · recommended 1×
  2. ROCm/HIP · recommended 1×
  3. Ollama · recommended 1×
  4. ONNX Runtime · recommended 1×
  5. DirectML · recommended 1×
  • CATEGORY QUERY
    How to run large language models efficiently on AMD integrated graphics?
    you: not recommended
    AI recommended (in order):
    1. llama.cpp
    2. ROCm/HIP
    3. Ollama
    4. ONNX Runtime
    5. DirectML
    6. Hugging Face Transformers
    7. bitsandbytes
    8. accelerate
    9. torch.compile
    10. PyTorch
    11. MLC LLM
    12. Apache TVM

    AI recommended 12 alternatives but never named kyuz0/amd-strix-halo-toolboxes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a containerized solution for Llama.cpp inference on AMD Ryzen AI hardware.
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. ROCm
    3. HIP
    4. Podman
    5. Singularity
    6. Apptainer
    7. NVIDIA Container Toolkit
    8. ZLUDA
    9. HIP-Clang
    10. CUDA
    11. Distrobox

    AI recommended 11 alternatives but never named kyuz0/amd-strix-halo-toolboxes. 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 kyuz0/amd-strix-halo-toolboxes?
    pass
    AI named kyuz0/amd-strix-halo-toolboxes explicitly

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

  • If a team adopts kyuz0/amd-strix-halo-toolboxes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kyuz0/amd-strix-halo-toolboxes 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 kyuz0/amd-strix-halo-toolboxes solve, and who is the primary audience?
    pass
    AI did not name kyuz0/amd-strix-halo-toolboxes — 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

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kyuz0/amd-strix-halo-toolboxes — 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