docs/media: refreshed dashboard shots (full-residency 4 tok/s, disk 0), new Atlas galaxy, phone + sidebar shots

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ZacharyZcR
2026-07-17 00:29:50 +08:00
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@@ -22,8 +22,9 @@ $ ./coli chat
<p align="center"> <p align="center">
<img src="docs/media/colibri-dashboard.png" width="900" alt="colibrì web dashboard — live metrics, hardware panel, expert tiers"> <img src="docs/media/colibri-dashboard.png" width="900" alt="colibrì web dashboard — live metrics, hardware panel, expert tiers">
</p> </p>
<p align="center"><em>The web dashboard (<code>./coli web</code>): a 744B model answering on 6× RTX 5090 <p align="center"><em>The web dashboard (<code>./coli web</code>): a 744B model at <strong>4 tok/s, TTFT 1.6 s, disk 0</strong>
live token metrics, the hardware panel, and the VRAM/RAM/disk expert tiers.</em></p> full expert residency on 6× RTX 5090, with live token metrics, the per-turn time breakdown,
the VRAM/RAM/disk tier bar and the live mini-brain in the corner.</em></p>
<p align="center"> <p align="center">
<img src="docs/media/colibri-brain.png" width="900" alt="the Brain page — 19,456 experts as a live cortex"> <img src="docs/media/colibri-brain.png" width="900" alt="the Brain page — 19,456 experts as a live cortex">
@@ -32,6 +33,13 @@ live token metrics, the hardware panel, and the VRAM/RAM/disk expert tiers.</em>
brightness is routing heat, and every expert routed in a turn flashes white. Hovering shows the expert's brightness is routing heat, and every expert routed in a turn flashes white. Hovering shows the expert's
<a href="https://github.com/JustVugg/colibri/issues/175">measured topic affinity</a>.</em></p> <a href="https://github.com/JustVugg/colibri/issues/175">measured topic affinity</a>.</em></p>
<p align="center">
<img src="docs/media/colibri-atlas.png" width="900" alt="the Atlas page — the measured expert atlas as a 3-D galaxy">
</p>
<p align="center"><em>The <strong>Atlas</strong> page: the <a href="https://github.com/JustVugg/colibri/issues/175">measured expert atlas</a>
as a 3-D galaxy — 13,260 characterised experts, 1,041 replicated specialists clustering by topic
(poetry, law, Chinese, SQL…). Position is measured routing affinity, not a learned embedding. Drag to spin.</em></p>
## The idea ## The idea
A 744B Mixture-of-Experts model activates only ~40B parameters per token — and A 744B Mixture-of-Experts model activates only ~40B parameters per token — and
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@@ -98,3 +98,13 @@ The dashboard talks to the engine over a small line protocol and plain JSON
endpoints — nothing heavier than the engine itself. `web/` is a pure OpenAI-API endpoints — nothing heavier than the engine itself. `web/` is a pure OpenAI-API
client (React + TypeScript) and also works against any other compatible client (React + TypeScript) and also works against any other compatible
endpoint; the terminal `coli chat` remains the first-class interface. endpoint; the terminal `coli chat` remains the first-class interface.
The layout is responsive down to phone widths, and the sidebar carries the full
telemetry stack — hardware, scheduler, tier bar, per-turn time breakdown, tok/s
trend and per-GPU expert counts:
<p align="center">
<img src="media/colibri-mobile.png" width="270" alt="the dashboard on a phone-sized viewport">
&nbsp;&nbsp;
<img src="media/colibri-metrics.png" width="300" alt="the telemetry sidebar">
</p>
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