File size: 5,243 Bytes
96fe0fe 2197c04 96fe0fe 2197c04 96fe0fe 2197c04 96fe0fe 2197c04 96fe0fe 2197c04 96fe0fe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | const canvas = document.getElementById("field");
const ctx = canvas.getContext("2d");
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let width = 0;
let height = 0;
let particles = [];
function resize() {
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width = window.innerWidth;
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ctx.setTransform(dpr, 0, 0, dpr, 0, 0);
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particles = Array.from({ length: count }, () => ({
x: Math.random() * width,
y: Math.random() * height,
z: Math.random() * 1 + 0.35,
vx: (Math.random() - 0.5) * 0.28,
vy: (Math.random() - 0.5) * 0.18,
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const lines = [
"$ ollama run hf.co/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-GGUF:Q4_K_M",
"loading gguf shards...",
"teacher imprint: glm-5.2",
"context window: long",
"mode: local-first",
"ready: ask ADI anything"
];
const typeout = document.getElementById("typeout");
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let text = "";
function typeLoop() {
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const models = {
qwen35: {
kind: "general assistant",
name: "adi-qwen3.5-4b-glm5.2-general",
body: "The smallest flagship ADI general model: distilled from glm-5.2 for practical local reasoning, explanation, and tool-aware chat.",
command: "ollama run hf.co/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-GGUF:Q4_K_M",
link: "https://huggingface.co/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-GGUF"
},
qwen3: {
kind: "general assistant",
name: "adi-qwen3-8b-glm5.2-general",
body: "More headroom for general reasoning while staying within a practical single-machine local inference envelope.",
command: "ollama run hf.co/AdvancedDataIntelligence/adi-qwen3-8b-glm5.2-general-GGUF:Q4_K_M",
link: "https://huggingface.co/AdvancedDataIntelligence/adi-qwen3-8b-glm5.2-general-GGUF"
},
coder: {
kind: "coding assistant",
name: "adi-qwen2.5-coder-7b-kimi2.7-code",
body: "A local coding model distilled from a frontier code teacher for generation, debugging, refactoring, and explanation.",
command: "ollama run hf.co/AdvancedDataIntelligence/adi-qwen2.5-coder-7b-kimi2.7-code-GGUF:Q4_K_M",
link: "https://huggingface.co/AdvancedDataIntelligence/adi-qwen2.5-coder-7b-kimi2.7-code-GGUF"
},
wake: {
kind: "voice interface",
name: "hey-adi-wakeword",
body: "A wakeword model for hands-free ADI loops, pairing local intelligence with ambient interaction.",
command: "hf.co/AdvancedDataIntelligence/hey-adi-wakeword",
link: "https://huggingface.co/AdvancedDataIntelligence/hey-adi-wakeword"
}
};
const kind = document.getElementById("model-kind");
const name = document.getElementById("model-name");
const body = document.getElementById("model-body");
const command = document.getElementById("model-command");
const link = document.getElementById("model-link");
const toast = document.getElementById("toast");
document.querySelectorAll(".tab").forEach((tab) => {
tab.addEventListener("click", () => {
document.querySelectorAll(".tab").forEach((item) => item.classList.toggle("active", item === tab));
const model = models[tab.dataset.model];
kind.textContent = model.kind;
name.textContent = model.name;
body.textContent = model.body;
command.textContent = model.command;
link.href = model.link;
});
});
document.getElementById("copy-command").addEventListener("click", async () => {
await navigator.clipboard.writeText(command.textContent);
toast.classList.add("show");
clearTimeout(window.toastTimer);
window.toastTimer = setTimeout(() => toast.classList.remove("show"), 1500);
});
window.addEventListener("resize", resize);
resize();
draw();
typeLoop();
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