---
title: README
emoji: 👑
colorFrom: blue
colorTo: indigo
sdk: static
pinned: true
---

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</style>

<section class="ralph-org-card">
  <div class="ralph-org-brand">
    <img src="https://ralphlabs.ai/brand/ralph-logo.png" alt="Ralph logo">
    <span>Ralph · Bittensor subnet 40</span>
  </div>
  <div class="ralph-org-copy">
    <h1>The same model.<br><span>Small enough for your phone.</span></h1>
    <p>
      Qwen3-8B compressed into four public crowns, from 1.16&nbsp;GB to 4.61&nbsp;GB.
      Same admitted architecture. Fewer bits. Every winner downloadable; every round auditable.
    </p>
  </div>
  <div class="ralph-org-actions">
    <a href="https://huggingface.co/RalphLabsAI/ralph-crowns/discussions/3">Join Device Lab #1</a>
    <a href="https://huggingface.co/spaces/RalphLabsAI/Ralph-Pocket-Lab">Choose a crown</a>
    <a href="https://huggingface.co/RalphLabsAI/ralph-crowns">Download the model</a>
    <a href="https://ralphlabs.ai/rounds/7">Audit Round 7</a>
    <a href="https://github.com/RalphLabsAI/ralph">Build to dethrone</a>
  </div>
  <div class="ralph-org-proof">
    <div><strong>4 crowns</strong><span>1.16–4.61 GB</span></div>
    <div><strong>Open weights</strong><span>Apache-2.0</span></div>
    <div><strong>Public decisions</strong><span>signed round records</span></div>
  </div>
</section>

## One crown. Four physical iPhones. Your receipt next.

Our configured 2.94 GB Round 7 sub2 crown loaded and answered in PocketPal on
four physical iPhones. [Watch the video and add your own result to Device Lab #1](https://huggingface.co/RalphLabsAI/ralph-crowns/discussions/3).
Successes and failures are both useful; include your device, app version, and settings.

These are Ralph team-authored BrowserStack tests using a test-only PocketPal
build. The devices stayed connected and all showed **Memory tight**; this is
not App Store memory-fit or offline certification. The exact sub2 builder is
[boweizh1204](https://huggingface.co/boweizh1204).

[Uncut recordings, exact settings, and limitations](https://huggingface.co/datasets/RalphLabsAI/ralph-device-lab/tree/7f5f1cfbf7882726a6c55a1d9b2f7c0ff06b3da8)
· [Build a device receipt](https://huggingface.co/spaces/RalphLabsAI/Ralph-Pocket-Lab)