RRepoGEO

REPOGEO REPORT · LITE

yandex/YaLM-100B

Default branch main · commit 14fa94df · scanned 5/28/2026, 8:38:05 PM

GitHub: 3,755 stars · 290 forks

AI VISIBILITY SCORE
28 /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
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 yandex/YaLM-100B, 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
  • highreadme#1
    Strengthen the README's opening statement to highlight key differentiators

    Why:

    CURRENT
    # YaLM 100B
**YaLM 100B** is a GPT-like neural network for generating and processing text. It can be used freely by developers and researchers from all over the world.
    COPY-PASTE FIX
    # YaLM 100B
**YaLM 100B** is a powerful, **open-source** GPT-like neural network with **100 billion parameters**, designed for advanced text generation and processing. It stands out as one of the largest publicly available models trained on a massive 1.7 TB dataset, supporting both **English and Russian** languages, and is freely usable by developers and researchers worldwide.
  • mediumabout#2
    Enhance the repository's 'About' description

    Why:

    CURRENT
    Pretrained language model with 100B parameters
    COPY-PASTE FIX
    A powerful, open-source 100B parameter large language model (LLM) for advanced text generation and processing in both English and Russian.

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 yandex/YaLM-100B
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 2×
  2. Mixtral 8x7B Instruct · recommended 1×
  3. Mistral 7B Instruct · recommended 1×
  4. Gemma · recommended 1×
  5. Llama 2 Chat · recommended 1×
  • CATEGORY QUERY
    What are the best open-source large language models for general text generation?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B Instruct
    3. Mistral 7B Instruct
    4. Gemma
    5. Llama 2 Chat
    6. Falcon Instruct

    AI recommended 6 alternatives but never named yandex/YaLM-100B. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a powerful pre-trained language model capable of processing both English and Russian text.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. GPT-3.5
    3. Claude 3 Opus / Sonnet / Haiku
    4. Google Gemini
    5. Llama 3
    6. Mistral Large / Mixtral 8x7B
    7. YandexGPT

    AI recommended 7 alternatives but never named yandex/YaLM-100B. 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 yandex/YaLM-100B?
    pass
    AI did not name yandex/YaLM-100B — 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?

  • If a team adopts yandex/YaLM-100B in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yandex/YaLM-100B 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 yandex/YaLM-100B solve, and who is the primary audience?
    pass
    AI named yandex/YaLM-100B explicitly

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

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yandex/YaLM-100B — 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