REPOGEO REPORT · LITE
b4rtaz/distributed-llama
Default branch main · commit e0c59737 · scanned 5/17/2026, 8:26:46 AM
GitHub: 2,934 stars · 231 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 b4rtaz/distributed-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.
- highreadme#1Reposition the README's opening to highlight local, consumer-hardware LLM inference
Why:
CURRENTConnect home devices into a powerful cluster to accelerate LLM inference. More devices mean faster performance, leveraging tensor parallelism and high-speed synchronization over Ethernet.
COPY-PASTE FIXTransform your home devices into a powerful, local LLM inference cluster. Distributed Llama accelerates large language model inference by leveraging tensor parallelism and high-speed synchronization across your consumer hardware, making advanced AI accessible without cloud reliance.
- mediumtopics#2Add specific topics to emphasize local and consumer hardware use
Why:
CURRENTdistributed-computing, distributed-llm, llama2, llama3, llm, llm-inference, llms, neural-network, open-llm
COPY-PASTE FIXdistributed-computing, distributed-llm, llama2, llama3, llm, llm-inference, llms, neural-network, open-llm, local-llm, consumer-hardware, edge-ai, home-lab
- mediumhomepage#3Add a project homepage URL to the repository's About section
Why:
COPY-PASTE FIXAdd the URL for the official project homepage (e.g., https://n4no.com/projects/distributedLlama/ if it exists, or a new one) to the repository's 'About' section.
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.
- vllm-project/vllm · recommended 1×
- ray-project/ray · recommended 1×
- microsoft/DeepSpeed · recommended 1×
- open-mpi/ompi · recommended 1×
- pmodels/mpich · recommended 1×
- CATEGORY QUERYHow can I combine multiple home devices to accelerate local LLM inference performance?you: not recommendedAI recommended (in order):
- vLLM (vllm-project/vllm)
- Ray (ray-project/ray)
- DeepSpeed (microsoft/DeepSpeed)
- Open MPI (open-mpi/ompi)
- MPICH (pmodels/mpich)
- llama.cpp (ggerganov/llama.cpp)
- Hugging Face Accelerate (huggingface/accelerate)
AI recommended 7 alternatives but never named b4rtaz/distributed-llama. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools help distribute large language model computations across a network of consumer hardware?you: not recommendedAI recommended (in order):
- RunPod.io
- Vast.ai
- Petals
- Hugging Face Accelerate
- Ray
- PyTorch Distributed
- Open Federated Learning
- Fal.ai
AI recommended 8 alternatives but never named b4rtaz/distributed-llama. 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 b4rtaz/distributed-llama?passAI named b4rtaz/distributed-llama explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts b4rtaz/distributed-llama in production, what risks or prerequisites should they evaluate first?passAI named b4rtaz/distributed-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 b4rtaz/distributed-llama solve, and who is the primary audience?passAI did not name b4rtaz/distributed-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?
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b4rtaz/distributed-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