RRepoGEO

REPOGEO REPORT · LITE

allenai/OLMo

Default branch main · commit 090253da · scanned 5/19/2026, 12:56:47 AM

GitHub: 6,508 stars · 757 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
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 allenai/OLMo, 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
  • highabout#1
    Update repository description to reflect inactive status and redirect

    Why:

    CURRENT
    Modeling, training, eval, and inference code for OLMo
    COPY-PASTE FIX
    INACTIVE: This repository contains the original modeling, training, eval, and inference code for OLMo. For the latest active releases and updates, please visit allenai/OLMo-core.
  • hightopics#2
    Add relevant topics for categorization

    Why:

    COPY-PASTE FIX
    language-models, llm, deep-learning, nlp, machine-learning, research, training, open-source
  • mediumreadme#3
    Update the introductory paragraph to reflect the repository's inactive status

    Why:

    CURRENT
    OLMo is a repository for training and using AI2's state-of-the-art open language models. It is designed by scientists, for scientists.
    COPY-PASTE FIX
    This repository *was* the original home for training and using AI2's state-of-the-art open language models. It *was* designed by scientists, for scientists, but is now inactive. For current work, please see allenai/OLMo-core.

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 allenai/OLMo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. PyTorch Lightning · recommended 1×
  3. DeepSpeed · recommended 1×
  4. JAX/Flax · recommended 1×
  5. LoRA · recommended 1×
  • CATEGORY QUERY
    How can I train and fine-tune large language models for research purposes?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Lightning
    3. DeepSpeed
    4. JAX/Flax
    5. LoRA
    6. Hugging Face PEFT
    7. NVIDIA NeMo
    8. OpenAI API

    AI recommended 8 alternatives but never named allenai/OLMo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools are available for developing and evaluating custom large language models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Datasets

    AI recommended 2 alternatives but never named allenai/OLMo. 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 allenai/OLMo?
    pass
    AI named allenai/OLMo explicitly

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

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

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

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allenai/OLMo — 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