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| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1"> | |
| <title>minaiml</title> | |
| <meta name="description" content="minaiml β delivery software for reasonable-sized models on laptops and smartphones."> | |
| <base target="_blank"> | |
| <style> | |
| :root { --bg:#07090a; --panel:#0e1211; --line:rgba(232,230,223,.08); --text:#e8e6df; --text2:#a3ada7; --gold:#d6b25e; } | |
| * { box-sizing: border-box; } | |
| body { margin:0; background:var(--bg); color:var(--text2); font:16px/1.65 ui-sans-serif, system-ui, -apple-system, "Segoe UI", sans-serif; } | |
| main { max-width: 820px; margin: 0 auto; padding: 48px 16px 64px; } | |
| h1 { color:var(--text); font-size:2.2rem; line-height:1.1; margin:0 0 6px; letter-spacing:-.02em; } | |
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| p { margin: 0 0 18px; } | |
| b { color: var(--text); font-weight: 600; } | |
| a { color: var(--gold); text-decoration: none; } | |
| a:hover { text-decoration: underline; } | |
| code { font: .86em ui-monospace, Menlo, monospace; } | |
| .scroll { overflow-x: auto; border: 1px solid var(--line); border-radius: 10px; margin: 8px 0 26px; } | |
| table { border-collapse: collapse; width: 100%; font-size: .92rem; } | |
| th, td { text-align: left; padding: 10px 14px; border-bottom: 1px solid var(--line); vertical-align: top; } | |
| tr:last-child td { border-bottom: 0; } | |
| th { font: .72rem ui-monospace, Menlo, monospace; letter-spacing: .12em; text-transform: uppercase; color: #6d7771; background: var(--panel); } | |
| td:first-child { white-space: nowrap; } | |
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| .bb-rowname { font:.68rem ui-monospace,Menlo,monospace; letter-spacing:.14em; text-transform:uppercase; color:#6d7771; width:84px; flex:none; } | |
| .bb-badge { display:inline-flex; align-items:stretch; font:.72rem ui-monospace,Menlo,monospace; border:1px solid var(--line); border-radius:5px; overflow:hidden; line-height:1; } | |
| .bb-badge svg { width:13px; height:13px; fill:var(--text2); align-self:center; margin:0 0 0 7px; flex:none; } | |
| .bb-badge .k { padding:5px 7px; color:var(--text); background:rgba(232,230,223,.05); } | |
| .bb-badge .v { padding:5px 7px; color:var(--gold); border-left:1px solid var(--line); } | |
| .bb-badge.warn .v { color:#ffb454; } | |
| .bb-badge.plan .v { color:var(--text2); font-style:italic; } | |
| .bb-badge.plan svg { opacity:.55; } | |
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| @media (max-width:520px){ .bb-rowname{ width:100%; } } | |
| </style> | |
| </head> | |
| <body> | |
| <main> | |
| <h1>minaiml</h1> | |
| <p class="say">min ai ml β models on hardware you own</p> | |
| <section class="bb-stamp" aria-label="Project status"> | |
| <div class="bb-seal"><span>LAB TEST</span><span class="dot">Β·</span><span>ALPHA</span></div> | |
| <p class="bb-seal-note"><b>BROBOT is decision logic that has been executed and tested β and has never generated a token on a phone.</b> It is not an installable release. Every figure on this page is a model or somebody else's published measurement, and is labelled as such. Work is private until it is released.</p> | |
| <p class="bb-vision"><b>Created by <a href="https://github.com/Professor-Codephreak" target="_blank" rel="noopener">codephreak</a></b> for a more empathetic interaction: <b>motion, vision, audio and participant interaction</b> from a handheld anyone in the world already carries β and, docked into hardware through open drivers, <b>walking</b>. The model player is the first organ, not the whole animal. A language model never drives a motor: it proposes an intent, and a deterministic governor with a dead-man timer decides whether the body moves.</p> | |
| <div class="bb-row"><span class="bb-rowname">status</span><span class="bb-badge"><span class="k">creator</span><span class="v">codephreak</span></span><span class="bb-badge warn"><span class="k">stage</span><span class="v">lab test</span></span><span class="bb-badge warn"><span class="k">release</span><span class="v">alpha</span></span><span class="bb-badge warn"><span class="k">runs on a device</span><span class="v">not yet</span></span><span class="bb-badge warn"><span class="k">installable</span><span class="v">no</span></span></div> | |
| <div class="bb-row"><span class="bb-rowname">languages</span><span class="bb-badge"><svg viewBox="0 0 24 24" aria-hidden="true"><path d="M1.125 0C.502 0 0 .502 0 1.125v21.75C0 23.498.502 24 1.125 24h21.75c.623 0 1.125-.502 1.125-1.125V1.125C24 .502 23.498 0 22.875 0zm17.363 9.75c.612 0 1.154.037 1.627.111a6.38 6.38 0 0 1 1.306.34v2.458a3.95 3.95 0 0 0-.643-.361 5.093 5.093 0 0 0-.717-.26 5.453 5.453 0 0 0-1.426-.2c-.3 0-.573.028-.819.086a2.1 2.1 0 0 0-.623.242c-.17.104-.3.229-.393.374a.888.888 0 0 0-.14.49c0 .196.053.373.156.529.104.156.252.304.443.444s.423.276.696.41c.273.135.582.274.926.416.47.197.892.407 1.266.628.374.222.695.473.963.753.268.279.472.598.614.957.142.359.214.776.214 1.253 0 .657-.125 1.21-.373 1.656a3.033 3.033 0 0 1-1.012 1.085 4.38 4.38 0 0 1-1.487.596c-.566.12-1.163.18-1.79.18a9.916 9.916 0 0 1-1.84-.164 5.544 5.544 0 0 1-1.512-.493v-2.63a5.033 5.033 0 0 0 3.237 1.2c.333 0 .624-.03.872-.09.249-.06.456-.144.623-.25.166-.108.29-.234.373-.38a1.023 1.023 0 0 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| <div class="bb-row"><span class="bb-rowname">licences</span><span class="bb-badge"><svg viewBox="0 0 24 24" aria-hidden="true"><path d="M5.072 13.931a.62.62 0 00-.52.338c-.114.211-.388.242-.516.201-.21-.07-.48-.119-.744.068-.263.187-.546.045-.495-.297.05-.34.172-.645.5-.83.713-.41.216-.695.607-1.108.394-.412.307-.537.293-1.1-1.326-.2-2.077-.58-2.915-1.63C.442 8.528.117 7.664.03 6.35-.057 5.033.02 4.18.588 3.09 1.156 2 1.756 1.475 2.788.93 3.825.383 4.84.254 5.78.271c.938.014 1.563.082 2.093.386.53.303 1.016.684 1.324.685.24.015.477-.053.673-.192.04 1.02-.878 1.108-1.698 1.13-.82.02-1.324-.317-2.08-.192-.754.128-1.992.47-2.595 1.52-.603 1.05-.624 1.42-.573 2.3.05.879.806 1.535 1.234 1.543.428.007.523-.117.898-.36.374-.246 2.284-2.61 2.934-3.14.653-.53 1.296-.696 1.99-.705.695-.008.87.015 1.433.246.56.229.903.652 1.355.91.23-.135.375-.34.584-.495.76-.552 1.152-.702 2.053-.615.518.052 1.17.347 1.56.686.693.604 1.265 1.44 1.727 2.079.36.497.785 1.09 1.392 1.277.66.2 1.157-.652 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| <div class="bb-row"><span class="bb-rowname">targets</span><span class="bb-badge"><svg viewBox="0 0 24 24" aria-hidden="true"><path d="M18.4395 5.5586c-.675 1.1664-1.352 2.3318-2.0274 3.498-.0366-.0155-.0742-.0286-.1113-.043-1.8249-.6957-3.484-.8-4.42-.787-1.8551.0185-3.3544.4643-4.2597.8203-.084-.1494-1.7526-3.021-2.0215-3.4864a1.1451 1.1451 0 0 0-.1406-.1914c-.3312-.364-.9054-.4859-1.379-.203-.475.282-.7136.9361-.3886 1.5019 1.9466 3.3696-.0966-.2158 1.9473 3.3593.0172.031-.4946.2642-1.3926 1.0177C2.8987 12.176.452 14.772 0 18.9902h24c-.119-1.1108-.3686-2.099-.7461-3.0683-.7438-1.9118-1.8435-3.2928-2.7402-4.1836a12.1048 12.1048 0 0 0-2.1309-1.6875c.6594-1.122 1.312-2.2559 1.9649-3.3848.2077-.3615.1886-.7956-.0079-1.1191a1.1001 1.1001 0 0 0-.8515-.5332c-.5225-.0536-.9392.3128-1.0488.5449zm-.0391 8.461c.3944.5926.324 1.3306-.1563 1.6503-.4799.3197-1.188.0985-1.582-.4941-.3944-.5927-.324-1.3307.1563-1.6504.4727-.315 1.1812-.1086 1.582.4941zM7.207 13.5273c.4803.3197.5506 1.0577.1563 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aria-hidden="true"><path d="M13.912 0a8.72 8.72 0 0 0-8.308 6.139c1.05-.515 2.18-.845 3.342-.976 2.415-3.363 7.4-3.412 9.88-.097 2.48 3.315 1.025 8.084-2.883 9.45a6.131 6.131 0 0 1-.3 2.762 8.72 8.72 0 0 0 3.01-1.225A8.72 8.72 0 0 0 13.913 0zm.082 6.451a2.284 2.284 0 1 0-.15 4.566 2.284 2.284 0 0 0 .15-4.566zm-5.629.27a8.72 8.72 0 0 0-3.031 1.235 8.72 8.72 0 1 0 13.06 9.9131 10.173 10.174 0 0 1-3.343.965 6.125 6.125 0 1 1-7.028-9.343 6.114 6.115 0 0 1 .342-2.772zm1.713 6.27a2.284 2.284 0 0 0-2.284 2.283 2.284 2.284 0 0 0 2.284 2.284 2.284 2.284 0 0 0 2.284-2.284 2.284 2.284 0 0 0-2.284-2.284z"/></svg><span class="k">Tauri 2</span><span class="v">planned host</span></span></div> | |
| <p class="bb-rule">Open source or go away: anything without an OSI-approved licence is ignored β not linked, not benchmarked against, not used as a data source.</p> | |
| </section> | |
| <p><b><a href="https://github.com/minaiml" target="_blank" rel="noopener">minaiml</a></b> (say it <i>minimal</i>) is <b><a href="https://huggingface.co/PYTHAI" target="_blank" rel="noopener">PYTHAI</a></b>'s delivery layer: the software that runs reasonable-sized models on hardware you already own. A mixture-of-experts model is mostly idle β a router wakes a handful of experts per token and leaves the rest on disk. Delivery is the art of exploiting that.</p> | |
| <div class="scroll"><table> | |
| <tr><th align="left">device</th><th align="left">model</th><th align="left">tok/s</th><th align="left">resident</th><th align="left">engine</th></tr> | |
| <tr><td>MacBook Pro M3 Max, 48 GB</td><td>Qwen3.5-397B-A17B</td><td>4.36</td><td>~6 GB of 209 GB</td><td><a href="https://github.com/minaiml/flash-moe" target="_blank" rel="noopener">flash-moe</a></td></tr> | |
| <tr><td>iPhone 17</td><td>Qwen3.5-35B-A3B</td><td>11</td><td>1.4 GB of 13 GB</td><td><a href="https://github.com/minaiml/Flash-iOS" target="_blank" rel="noopener">Flash-iOS</a></td></tr> | |
| <tr><td>Raspberry Pi 5, 8 GB</td><td>DeepSeek-V4-Flash</td><td>—</td><td>—</td><td><a href="https://github.com/minaiml/flash-pi-dsv4" target="_blank" rel="noopener">flash-pi-dsv4</a></td></tr> | |
| <tr><td>2-core CPU VPS, no GPU</td><td><a href="https://huggingface.co/PYTHAI/mindXtrain39" target="_blank" rel="noopener">mindXtrain39</a>, 135M dense</td><td>0.19</td><td>—</td><td>Ollama</td></tr> | |
| </table></div> | |
| <p>The slowest row is ours, and it stays: a 135-million-parameter dense model runs three hundred times slower than a 397-billion-parameter sparse one. <b>Sparsity, not size, decides what a small machine can run.</b></p> | |
| <p><b>BROBOT β the build.</b> <a href="https://github.com/minaiml/brobot" target="_blank" rel="noopener">minaiml/brobot</a> is the model player itself, built from PocketPal AI (MIT, React Native + llama.rn). Its <code>src/handheld/</code> module is the device side, and what it has found so far is the interesting part.</p> | |
| <p><b>RAM is effort.</b> Three things compete for it β weights, KV cache, prefill batch β and the KV cache is charged <i>twice</i>: once in memory, and again in bandwidth on every single token. So the configuration that fits the most context is reliably <b>not</b> the one that produces the most tokens.</p> | |
| <div class="scroll"><table> | |
| <tr><th align="left">strategy</th><th align="left">context</th><th align="left">RAM</th><th align="left">tok/s</th><th align="left">tok/s per GB</th></tr> | |
| <tr><td>speed</td><td>1,024</td><td>2.17 GB</td><td>7.6</td><td><b>3.51</b></td></tr> | |
| <tr><td>balanced <i>(default)</i></td><td>16,384</td><td>2.79 GB</td><td>5.8</td><td>2.09</td></tr> | |
| <tr><td>context</td><td>32,768</td><td>3.46 GB</td><td>4.7</td><td>1.35</td></tr> | |
| </table></div> | |
| <p>Maximising context returns 38 % of the tokens per gigabyte of the efficient point, and costs 38 % of the throughput to get there. So the player picks on that frontier instead of maximising any one axis, and it states what it rejected and why.</p> | |
| <p><b>And the mixture-of-experts asymmetry, which is the whole argument in two rows:</b> memory scales with <i>total</i> parameters, speed scales with <i>active</i> ones. On the same mid-range phone, a dense 35B holds 21 GB and runs at 0.7 tok/s; an MoE 35B-A3B holds the same 21 GB and runs at <b>6.5 tok/s</b> β nine times the throughput at identical memory cost. Quantizing the KV cache turns out to buy speed as well as memory, and the gain grows with context: +12 % at 4k, <b>+49 % at 32k</b>.</p> | |
| <p>Every number there is a <b>model, not a benchmark</b>, and says so β to be replaced by measured telemetry the moment a real device reports one. The specification is <a href="https://github.com/minaiml/.github/blob/main/PLAYER.md" target="_blank" rel="noopener">PLAYER.md</a>; the reasoning that led to it is <a href="https://github.com/minaiml/.github/blob/main/HYPOTHESIS.md" target="_blank" rel="noopener">HYPOTHESIS.md</a>.</p> | |
| <p><b>Smart phones, plural.</b> A phone at 11 tok/s is not a terminal for somebody else's data centre β it is a <b>node</b>. That reframes the problem: not "how large a model fits on this device", but "what does a mesh of small devices know together". The catalogue already carries the cluster layer β <a href="https://github.com/minaiml/exo" target="_blank" rel="noopener">exo</a> builds an AI cluster from everyday devices, <a href="https://github.com/minaiml/distributed-llama" target="_blank" rel="noopener">distributed-llama</a> splits one model across machines on a LAN, <a href="https://github.com/minaiml/petals" target="_blank" rel="noopener">petals</a> does it over a swarm.</p> | |
| <p><b>The floor is two processors.</b> <a href="https://huggingface.co/spaces/PYTHAI/mindX" target="_blank" rel="noopener">mindX</a> is the existence proof, and it is deliberately unglamorous: <b>2 CPU cores, 7.8 GB of RAM, no GPU</b>, self-throttled to a third of the processor. On that it trains <i>its own weights</i> from its own memory β dreams become a corpus, the corpus trains a 135M actor, and a proof-of-recall gate decides whether the result is allowed to exist. It usually isn't: generation 39 is the newest the gate accepted, and every generation after it was refused. <b>A gate that never refuses is not a gate.</b></p> | |
| <p>That is the paradigm the phone inherits. CPU is the standing resource β always on, marginal cost zero, already in your pocket. GPU and rented capacity are <i>episodic</i>: you pay for a training event, then tear it down. So intelligence originates at the bottom and scales on demand, rather than living in one large machine somebody else owns. <b>A thousand phones that each know a little, and can ask each other, is a different architecture from one model that knows everything.</b></p> | |
| <p><b>Licence position.</b> PYTHAI hosts no engine and no engine-derived artifact. The catalogue is a set of pinned <i>references</i> on GitHub, each carrying a <code>FORK.json</code> with its upstream, commit and licence β and four of them declare <b>no licence upstream</b>, which means all rights reserved by their authors. Those are read and cited, never redistributed, and nothing derived from them is published in this namespace. The register is <a href="https://github.com/minaiml/.github/blob/main/LICENSES.md" target="_blank" rel="noopener">LICENSES.md</a>.</p> | |
| <p><b>The catalogue lives on GitHub</b> β <a href="https://github.com/minaiml" target="_blank" rel="noopener">github.com/minaiml</a>: laptop engines, MoE streaming, phone and edge runtimes, browser targets, cluster inference, on-device speech and adaptation. Every fork carries a <code>FORK.json</code> recording upstream, the commit we pinned, the date and the licence β including the four that declare no licence upstream and are therefore never redistributed.</p> | |
| <p><b>The models are at <a href="https://huggingface.co/PYTHAI" target="_blank" rel="noopener">PYTHAI</a></b>, licence-pinned at a commit: <a href="https://huggingface.co/PYTHAI/Qwen3.8-27B-fork" target="_blank" rel="noopener">Qwen3.8</a> Β· <a href="https://huggingface.co/PYTHAI/GLM-5.3-Flash-fork" target="_blank" rel="noopener">GLM-5.3-Flash</a> Β· <a href="https://huggingface.co/PYTHAI/Kimi-K3-fork" target="_blank" rel="noopener">Kimi K3</a> Β· <a href="https://huggingface.co/PYTHAI/granite-4.2-8b-fork" target="_blank" rel="noopener">Granite 4.2</a>. Delivery software here, weights there.</p> | |
| <p><b>Elsewhere:</b> <a href="https://pythai.net" target="_blank" rel="noopener">pythai.net</a> Β· <a href="https://mindx.pythai.net" target="_blank" rel="noopener">mindx.pythai.net</a> Β· <a href="https://huggingface.co/spaces/PYTHAI/mindX" target="_blank" rel="noopener">mindX, live</a>. Built by <a href="https://github.com/Professor-Codephreak" target="_blank" rel="noopener">Professor Codephreak</a>.</p> | |
| <p>Intelligence doesn't require a data center. It requires knowing which parameters are awake.</p> | |
| </main> | |
| </body> | |
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