RRepoGEO

REPOGEO REPORT · LITE

HIT-SCIR/Chinese-Mixtral-8x7B

Default branch main · commit a6726720 · scanned 6/16/2026, 6:32:50 AM

GitHub: 651 stars · 33 forks

AI VISIBILITY SCORE
22 /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
1 / 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 HIT-SCIR/Chinese-Mixtral-8x7B, 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
  • highreadme#1
    Reposition the README's opening to highlight unique value

    Why:

    CURRENT
    The current README starts with a centered H1 "Chinese-Mixtral-8x7B" followed by badges and then a "新闻" (News) section before the "介绍" (Introduction).
    COPY-PASTE FIX
    Add the following sentence directly below the main title: "本项目是基于Mixtral-8x7B模型，通过中文扩词表和大规模增量预训练，专为中文自然语言处理优化的稀疏混合专家（MoE）大模型。"
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    large-language-models, llm, mixtral-8x7b, nlp
    COPY-PASTE FIX
    large-language-models, llm, mixtral-8x7b, nlp, chinese-llm, chinese-nlp, mixture-of-experts, moes
  • lowhomepage#3
    Add a project homepage link

    Why:

    COPY-PASTE FIX
    https://huggingface.co/HIT-SCIR/Chinese-Mixtral-8x7B

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 HIT-SCIR/Chinese-Mixtral-8x7B
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ERNIE 3.0 Titan
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ERNIE 3.0 Titan · recommended 1×
  2. Mixtral 8x7B · recommended 1×
  3. Qwen-MoE · recommended 1×
  4. DeepSeek-MoE · recommended 1×
  5. Google's Gemini · recommended 1×
  • CATEGORY QUERY
    Need a large language model specifically pre-trained and fine-tuned for high-quality Chinese NLP tasks.
    you: not recommended
    AI recommended (in order):
    1. ERNIE 3.0 Titan

    AI recommended 1 alternative but never named HIT-SCIR/Chinese-Mixtral-8x7B. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Mixture-of-Experts models for advanced Chinese language understanding and generation?
    you: not recommended
    AI recommended (in order):
    1. Mixtral 8x7B
    2. Qwen-MoE
    3. DeepSeek-MoE
    4. Google's Gemini
    5. GPT-4

    AI recommended 5 alternatives but never named HIT-SCIR/Chinese-Mixtral-8x7B. 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 HIT-SCIR/Chinese-Mixtral-8x7B?
    pass
    AI did not name HIT-SCIR/Chinese-Mixtral-8x7B — 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 HIT-SCIR/Chinese-Mixtral-8x7B in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HIT-SCIR/Chinese-Mixtral-8x7B 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 HIT-SCIR/Chinese-Mixtral-8x7B solve, and who is the primary audience?
    pass
    AI did not name HIT-SCIR/Chinese-Mixtral-8x7B — 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

Drop this badge into the README of HIT-SCIR/Chinese-Mixtral-8x7B. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HIT-SCIR/Chinese-Mixtral-8x7B — 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