RRepoGEO

REPOGEO REPORT · LITE

CStanKonrad/long_llama

Default branch main · commit bfcb8d1d · scanned 5/16/2026, 12:32:51 AM

GitHub: 1,465 stars · 84 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 CStanKonrad/long_llama, 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 relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    large-language-model, llm, long-context, focused-transformer, openllama, deep-learning, machine-learning, nlp, transformer-models
  • highreadme#2
    Add a concise opening sentence to the README for immediate positioning

    Why:

    COPY-PASTE FIX
    LongLLaMA is an open-source large language model specifically designed to handle exceptionally long contexts, extending the capabilities of LLaMA-based architectures through Focused Transformer (FoT) training.
  • mediumreadme#3
    Add a 'Why LongLLaMA?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why LongLLaMA?

LongLLaMA stands out by providing LLaMA-based models with significantly extended context windows (e.g., up to 100k+ tokens) through our novel Focused Transformer (FoT) training method. Unlike general-purpose long-context models, LongLLaMA specifically targets the LLaMA architecture, offering a direct path for researchers and developers to leverage LLaMA's strengths with vastly increased context capabilities, making it ideal for tasks requiring deep understanding of very long documents or conversations.

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 CStanKonrad/long_llama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Claude 3 Opus / Claude 3 Sonnet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Claude 3 Opus / Claude 3 Sonnet · recommended 1×
  2. GPT-4 Turbo · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. Mistral Large · recommended 1×
  5. Llama 3 (8B and 70B models) · recommended 1×
  • CATEGORY QUERY
    What large language models can effectively process very long input documents?
    you: not recommended
    AI recommended (in order):
    1. Claude 3 Opus / Claude 3 Sonnet
    2. GPT-4 Turbo
    3. Gemini 1.5 Pro
    4. Mistral Large
    5. Llama 3 (8B and 70B models)

    AI recommended 5 alternatives but never named CStanKonrad/long_llama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source LLM that supports extremely large context windows for text generation.
    you: not recommended
    AI recommended (in order):
    1. LongNet
    2. Mistral 7B
    3. Llama 2
    4. MPT-7B-StoryWriter-65k+
    5. Qwen-1.5-7B-Chat

    AI recommended 5 alternatives but never named CStanKonrad/long_llama. 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 CStanKonrad/long_llama?
    pass
    AI did not name CStanKonrad/long_llama — 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 CStanKonrad/long_llama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CStanKonrad/long_llama 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 CStanKonrad/long_llama solve, and who is the primary audience?
    pass
    AI named CStanKonrad/long_llama explicitly

    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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CStanKonrad/long_llama — 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