RRepoGEO

REPOGEO REPORT · LITE

Jittor/JittorLLMs

Default branch main · commit 8f2d3ce5 · scanned 6/28/2026, 7:48:08 PM

GitHub: 2,416 stars · 187 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
3 / 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 Jittor/JittorLLMs, 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 the repository

    Why:

    COPY-PASTE FIX
    llm, inference, low-resource, gpu-free, jittor, chatglm, llama, pangu, rwkv, chinese-llm, model-deployment, local-llm
  • highabout#2
    Refine the repository's About description

    Why:

    CURRENT
    计图大模型推理库,具有高性能、配置要求低、中文支持好、可移植等特点
    COPY-PASTE FIX
    JittorLLMs is a high-performance, low-resource LLM inference library, enabling local deployment of large models even without a GPU or with minimal memory (2GB+). It features broad Chinese LLM support and portability.
  • mediumhomepage#3
    Add an official homepage URL

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., to the Jittor project page or main Jittor website).

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 Jittor/JittorLLMs
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 2×
  2. llama.cpp · recommended 2×
  3. MLC LLM · recommended 2×
  4. LM Studio · recommended 1×
  5. Jan · recommended 1×
  • CATEGORY QUERY
    How can I deploy large language models locally on a computer without a powerful GPU?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. Jan
    4. llama.cpp
    5. MLC LLM
    6. Text Generation WebUI (oobabooga)

    AI recommended 6 alternatives but never named Jittor/JittorLLMs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an efficient inference library for various LLMs on systems with low memory and CPU.
    you: not recommended
    AI recommended (in order):
    1. llama.cpp
    2. Ollama
    3. MLC LLM
    4. Transformers
    5. bitsandbytes
    6. AutoGPTQ
    7. ONNX Runtime
    8. TensorRT-LLM

    AI recommended 8 alternatives but never named Jittor/JittorLLMs. 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 Jittor/JittorLLMs?
    pass
    AI named Jittor/JittorLLMs explicitly

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

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

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

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Jittor/JittorLLMs — 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