REPOGEO REPORT · LITE
rasbt/llm-architecture-gallery
Default branch main · commit 47e3dcae · scanned 6/19/2026, 4:42:42 AM
GitHub: 1,307 stars · 115 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 rasbt/llm-architecture-gallery, 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.
- highreadme#1Reposition README H1 and opening paragraph to emphasize "visual catalog"
Why:
CURRENT# LLM Architecture Gallery This repository contains the source model metadata for the LLM Architecture Gallery.
COPY-PASTE FIX# LLM Architecture Gallery: A Visual Catalog of Diverse LLM Architectures This repository provides the source data for the LLM Architecture Gallery, a comprehensive visual catalog designed to help machine learning practitioners, researchers, and students explore and compare diverse large language model architectures.
- mediumtopics#2Add more specific topics to improve categorization
Why:
CURRENTai, llms
COPY-PASTE FIXai, llms, llm-architectures, architecture-gallery, machine-learning, deep-learning, visualization, comparison
- lowreadme#3Add a "Why this gallery?" section to the README
Why:
COPY-PASTE FIX## Why this gallery? This gallery helps machine learning practitioners, researchers, and students quickly understand and compare the key characteristics and visual structures of various LLM architectures in a consistent, digestible format.
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.
- GPT-4 · recommended 1×
- Claude 3 Opus / Sonnet / Haiku · recommended 1×
- facebookresearch/llama · recommended 1×
- mistralai/mistral-src · recommended 1×
- Gemini 1.5 Pro · recommended 1×
- CATEGORY QUERYWhat are the key characteristics of popular large language models for research and development?you: not recommendedAI recommended (in order):
- GPT-4
- Claude 3 Opus / Sonnet / Haiku
- Llama 3 (facebookresearch/llama)
- Mistral Large / Mixtral 8x7B (mistralai/mistral-src)
- Gemini 1.5 Pro
- Gemma (google/gemma)
- Falcon 180B / 40B (tiiuae/falcon-180b)
AI recommended 7 alternatives but never named rasbt/llm-architecture-gallery. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find a visual catalog to explore diverse large language model architectures?you: not recommendedAI recommended (in order):
- LLM Visualization by Jay Alammar
- The Illustrated Transformer
- The Illustrated GPT-2 (Visualizing Transformer Language Models)
- Hugging Face Transformers Documentation (huggingface/transformers)
- Attention Is All You Need
- Weights & Biases (W&B) Blog/Reports (wandb/wandb)
- StatQuest with Josh Starmer
- AI Coffee Break with Letitia
AI recommended 8 alternatives but never named rasbt/llm-architecture-gallery. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
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 rasbt/llm-architecture-gallery?passAI named rasbt/llm-architecture-gallery explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts rasbt/llm-architecture-gallery in production, what risks or prerequisites should they evaluate first?passAI named rasbt/llm-architecture-gallery 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 rasbt/llm-architecture-gallery solve, and who is the primary audience?passAI did not name rasbt/llm-architecture-gallery — 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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rasbt/llm-architecture-gallery — 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