RRepoGEO

REPOGEO REPORT · LITE

midrender/mamba-chat

Default branch main · commit 68e60823 · scanned 6/16/2026, 8:03:38 AM

GitHub: 943 stars · 72 forks

AI VISIBILITY SCORE
28 /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
2 / 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 midrender/mamba-chat, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify README's opening to emphasize the repo as the Mamba-Chat project

    Why:

    CURRENT
    Mamba-Chat is the first chat language model based on a state-space model architecture, not a transformer.
    COPY-PASTE FIX
    Mamba-Chat is the first chat language model based on a state-space model architecture, not a transformer. This repository serves as the official project for Mamba-Chat, providing everything needed to run, fine-tune, and develop with this novel chat LLM.
  • mediumhomepage#2
    Add a homepage link to the Hugging Face model page

    Why:

    COPY-PASTE FIX
    https://huggingface.co/midrender/mamba-chat

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 midrender/mamba-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mamba
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mamba · recommended 1×
  2. Jamba · recommended 1×
  3. RWKV · recommended 1×
  4. Hyena Hierarchy · recommended 1×
  5. S4 · recommended 1×
  • CATEGORY QUERY
    Looking for a chat language model that uses state-space architecture, not transformers.
    you: not recommended
    AI recommended (in order):
    1. Mamba
    2. Jamba
    3. RWKV
    4. Hyena Hierarchy
    5. S4

    AI recommended 5 alternatives but never named midrender/mamba-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to fine-tune a large language model based on state-space models for conversational AI?
    you: not recommended
    AI recommended (in order):
    1. transformers
    2. state-spaces/mamba-2.8b-slimpj
    3. peft
    4. state-spaces/mamba (state-spaces/mamba)
    5. PyTorch
    6. lit-gpt (Lightning-AI/lit-gpt)
    7. PyTorch Lightning
    8. axolotl (OpenAccess-AI-Collective/axolotl)
    9. DeepSpeed
    10. PyTorch FSDP
    11. text-generation-inference
    12. NVIDIA Triton Inference Server
    13. FastAPI

    AI recommended 13 alternatives but never named midrender/mamba-chat. 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 midrender/mamba-chat?
    pass
    AI did not name midrender/mamba-chat — 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 midrender/mamba-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named midrender/mamba-chat 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 midrender/mamba-chat solve, and who is the primary audience?
    pass
    AI named midrender/mamba-chat explicitly

    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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MARKDOWN (README)
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midrender/mamba-chat — 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