REPOGEO REPORT · LITE
henrywoo/pyllama
Default branch main · commit 9dca874d · scanned 6/24/2026, 5:52:16 PM
GitHub: 2,782 stars · 299 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.
3 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 henrywoo/pyllama, 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.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXllama, llm, inference, python, gpu, machine-learning, deep-learning, language-models, ai, local-inference, consumer-gpu, llama-cpp
- highreadme#2Reposition README opening to highlight "pure Python port of llama.cpp"
Why:
CURRENT> 📢 `pyllama` is a hacked version of `LLaMA` based on original Facebook's implementation but more convenient to run in a Single consumer grade GPU.
COPY-PASTE FIX> 📢 `pyllama` is a pure Python port of `llama.cpp`'s core inference logic, making it a convenient and efficient way to run LLaMA models on a single consumer-grade GPU.
- mediumhomepage#3Add a homepage URL to the repository's "About" section
Why:
COPY-PASTE FIXhttps://pypi.org/project/pyllama/
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.
- LM Studio · recommended 2×
- llama.cpp · recommended 1×
- llama-cpp-python · recommended 1×
- Ollama · recommended 1×
- transformers · recommended 1×
- CATEGORY QUERYHow can I run large language models on a single consumer-grade GPU?you: not recommendedAI recommended (in order):
- llama.cpp
- llama-cpp-python
- Ollama
- transformers
- bitsandbytes
- accelerate
- ExLlamaV2
- vLLM
- LM Studio
- Jan
AI recommended 10 alternatives but never named henrywoo/pyllama. This is the gap to close.
Show full AI answer
- CATEGORY QUERYPython tools for easily deploying open-source foundation models for local inference?you: not recommendedAI recommended (in order):
- Ollama (ollama/ollama)
- LM Studio
- Hugging Face `transformers` library (huggingface/transformers)
- `llama-cpp-python` (abetlen/llama-cpp-python)
- `vLLM` (vllm-project/vllm)
AI recommended 5 alternatives but never named henrywoo/pyllama. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- 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 henrywoo/pyllama?passAI named henrywoo/pyllama explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts henrywoo/pyllama in production, what risks or prerequisites should they evaluate first?passAI named henrywoo/pyllama 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 henrywoo/pyllama solve, and who is the primary audience?passAI named henrywoo/pyllama explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of henrywoo/pyllama. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/henrywoo/pyllama)<a href="https://repogeo.com/en/r/henrywoo/pyllama"><img src="https://repogeo.com/badge/henrywoo/pyllama.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
henrywoo/pyllama — 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