RRepoGEO

REPOGEO REPORT · LITE

GoogleCloudPlatform/localllm

Default branch main · commit 2939bd32 · scanned 5/17/2026, 11:47:53 AM

GitHub: 1,549 stars · 119 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)

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

AI VISIBILITY SCORE
30 /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
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 GoogleCloudPlatform/localllm, 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 repository description

    Why:

    COPY-PASTE FIX
    Run large language models (LLMs) locally on secure Google Cloud Workstations using quantized models and `llama-cpp-python`.
  • mediumreadme#2
    Strengthen README's opening sentence to highlight unique value

    Why:

    CURRENT
    # local-llm

Run LLMs locally on Cloud Workstations. Uses:
    COPY-PASTE FIX
    # local-llm

An experimental Google Cloud toolkit for running quantized LLMs locally on secure Cloud Workstations, leveraging `llama-cpp-python` for efficient AI inference.

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 GoogleCloudPlatform/localllm
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. llama.cpp · recommended 2×
  2. AWS SageMaker Studio Lab · recommended 1×
  3. AWS SageMaker Studio · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    Need to run large language models locally on a secure cloud development environment.
    you: not recommended
    AI recommended (in order):
    1. AWS SageMaker Studio Lab
    2. AWS SageMaker Studio
    3. Hugging Face Transformers
    4. PyTorch
    5. TensorFlow
    6. SageMaker JumpStart
    7. Google Cloud Vertex AI Workbench (Managed Notebooks)
    8. PaLM API
    9. Azure Machine Learning Compute Instances
    10. Hugging Face Spaces
    11. Hugging Face Hub
    12. RunPod.io
    13. Vast.ai
    14. ollama
    15. llama.cpp
    16. text-generation-webui
    17. Lambda Labs Cloud
    18. Paperspace Gradient
    19. Gradient Notebooks
    20. Core VMs

    AI recommended 20 alternatives but never named GoogleCloudPlatform/localllm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a solution to deploy quantized LLMs on a cloud workstation efficiently.
    you: not recommended
    AI recommended (in order):
    1. vLLM
    2. AutoGPTQ
    3. Optimum
    4. Triton Inference Server
    5. TensorRT-LLM
    6. Hugging Face TGI
    7. bitsandbytes
    8. llama.cpp
    9. OpenVINO
    10. ONNX Runtime

    AI recommended 10 alternatives but never named GoogleCloudPlatform/localllm. 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 GoogleCloudPlatform/localllm?
    pass
    AI named GoogleCloudPlatform/localllm explicitly

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

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

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

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GoogleCloudPlatform/localllm — 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