CHAT
Browse files- index.html +276 -17
index.html
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@@ -1,19 +1,278 @@
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<!doctype html>
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<html>
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</html>
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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width,initial-scale=1" />
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<title>Browser LLM (WASM, mobile)</title>
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<style>
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:root { --bg:#0b0d10; --card:#14171b; --muted:#9aa4af; --accent:#6ee7b7; --danger:#f87171; --text:#dce3ea; }
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* { box-sizing:border-box; }
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body { margin:0; background:var(--bg); color:var(--text); font:16px/1.45 system-ui, -apple-system, Segoe UI, Roboto, "Helvetica Neue", Arial, "Apple Color Emoji","Segoe UI Emoji"; }
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header { padding:14px 16px; border-bottom:1px solid #21262c; display:flex; gap:10px; align-items:center; }
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header h1 { font-size:16px; margin:0; font-weight:600; }
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header .pill { font-size:12px; color:var(--bg); background:var(--accent); padding:.2rem .55rem; border-radius:999px; font-weight:700; letter-spacing:.02em; }
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main { display:grid; grid-template-rows:auto 1fr auto; height:calc(100dvh - 58px); }
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.bar { display:flex; flex-wrap:wrap; gap:8px; padding:10px 12px; background:#0f1216; border-bottom:1px solid #21262c; align-items:center; }
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select, input[type="number"] { background:var(--card); color:var(--text); border:1px solid #29313a; border-radius:10px; padding:8px 10px; }
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button { background:#1c2128; color:var(--text); border:1px solid #2a323c; border-radius:12px; padding:10px 12px; font-weight:600; cursor:pointer; }
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button.primary { background:var(--accent); color:#08261b; border:none; }
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button.ghost { background:transparent; border-color:#2a323c; }
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button:disabled { opacity:.6; cursor:not-allowed; }
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.grow { flex:1 1 auto; }
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.progress { width:160px; height:8px; background:#1a1f25; border-radius:999px; overflow:hidden; border:1px solid #25303a; }
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.progress > i { display:block; height:100%; width:0%; background:linear-gradient(90deg,#34d399,#10b981); transition:width .25s ease; }
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#stats { font-size:12px; color:var(--muted); display:flex; gap:10px; align-items:center; }
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#chat { padding:14px; overflow:auto; background:linear-gradient(#0b0d10, #0d1117); }
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.msg { max-width:820px; margin:0 auto 10px auto; display:flex; gap:10px; align-items:flex-start; }
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.msg .bubble { background:var(--card); padding:12px 14px; border-radius:16px; border:1px solid #242c35; white-space:pre-wrap; }
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.msg.user .bubble { background:#1d2330; }
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.msg.assistant .bubble { background:#151c24; }
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.role { font-size:12px; color:var(--muted); min-width:68px; text-transform:uppercase; letter-spacing:.04em; }
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.inputbar { display:flex; gap:8px; padding:10px; border-top:1px solid #21262c; background:#0f1216; }
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textarea { resize:none; height:64px; padding:10px 12px; flex:1 1 auto; border-radius:12px; border:1px solid #2a323c; background:var(--card); color:var(--text); }
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.tiny { font-size:12px; color:var(--muted); }
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.warn { color:var(--danger); font-weight:600; }
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.row { display:flex; gap:8px; align-items:center; flex-wrap:wrap; }
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.spacer { flex:1; }
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a { color:#93c5fd; }
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</style>
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</head>
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<body>
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<header>
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<h1>Browser LLM</h1>
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<span class="pill">WASM β’ CPU-only</span>
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<span id="isoNote" class="tiny"></span>
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</header>
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<main>
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<div class="bar">
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<label>Model:</label>
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<select id="model">
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<!-- Public Hugging Face GGUFs (no hosting needed) -->
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<option value='{"id":"QuantFactory/SmolLM2-360M-GGUF","file":"SmolLM2-360M.Q4_0.gguf","label":"SmolLM2-360M Q4_0 (β229 MB)"}'>
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SmolLM2-360M Q4_0 (β229 MB)
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</option>
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<option value='{"id":"QuantFactory/SmolLM2-360M-GGUF","file":"SmolLM2-360M.Q3_K_S.gguf","label":"SmolLM2-360M Q3_K_S (β219 MB, faster)"}'>
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SmolLM2-360M Q3_K_S (β219 MB, faster)
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</option>
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<option value='{"id":"QuantFactory/SmolLM2-360M-GGUF","file":"SmolLM2-360M.Q2_K.gguf","label":"SmolLM2-360M Q2_K (β~200 MB, min RAM / quality drop)"}'>
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SmolLM2-360M Q2_K (β~200 MB, min RAM / quality drop)
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</option>
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</select>
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<div class="row">
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<label>Max new tokens</label>
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<input id="nPredict" type="number" min="1" max="512" step="1" value="128" />
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</div>
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<div class="row">
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<label>Temp</label><input id="temp" type="number" min="0" max="2" step="0.1" value="0.7" style="width:80px" />
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<label>Top-p</label><input id="topp" type="number" min="0" max="1" step="0.05" value="0.9" style="width:80px" />
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<label>Top-k</label><input id="topk" type="number" min="1" max="100" step="1" value="40" style="width:80px" />
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</div>
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<div class="spacer"></div>
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<button id="loadBtn" class="primary">Load model</button>
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<button id="unloadBtn" class="ghost" disabled>Unload</button>
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<div class="progress" title="download progress"><i id="prog"></i></div>
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<div id="stats">idle</div>
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</div>
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<div id="chat" aria-live="polite"></div>
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<form class="inputbar" id="form">
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<textarea id="input" placeholder="Ask me anythingβ¦" required></textarea>
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<div class="row" style="flex-direction:column; gap:6px; align-items:flex-end">
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<button id="sendBtn" class="primary">Send</button>
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<button id="stopBtn" type="button" class="ghost" disabled>Stop</button>
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<div class="tiny">Context kept small for mobile perf</div>
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</div>
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</form>
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</main>
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<script type="module">
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// βββ Fixed imports (pin version + explicit wasm paths) βββ
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import { Wllama, LoggerWithoutDebug } from "https://cdn.jsdelivr.net/npm/@wllama/wllama@2.3.1/esm/index.js";
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// Provide the wasm URLs directly so there is no "+esm" indirection.
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const CONFIG_PATHS = {
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"single-thread/wllama.wasm": "https://cdn.jsdelivr.net/npm/@wllama/wllama@2.3.1/esm/single-thread/wllama.wasm",
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"multi-thread/wllama.wasm" : "https://cdn.jsdelivr.net/npm/@wllama/wllama@2.3.1/esm/multi-thread/wllama.wasm",
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};
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// βββ DOM refs βββ
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const $model = document.getElementById('model');
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const $load = document.getElementById('loadBtn');
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const $unload= document.getElementById('unloadBtn');
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const $prog = document.getElementById('prog');
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const $stats = document.getElementById('stats');
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const $chat = document.getElementById('chat');
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const $form = document.getElementById('form');
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const $input = document.getElementById('input');
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const $send = document.getElementById('sendBtn');
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const $stop = document.getElementById('stopBtn');
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const $iso = document.getElementById('isoNote');
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// βββ State βββ
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const decoder = new TextDecoder();
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const wllama = new Wllama(CONFIG_PATHS, { logger: LoggerWithoutDebug });
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let aborter = null;
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let loaded = false;
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let eotToken = -1;
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let sysPrompt = "You are a helpful, concise assistant. Keep answers short and clear.";
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// Keep RAM low for mobile: small context + int4 KV cache
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const LOAD_CONFIG = {
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n_ctx: 768,
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n_batch: 48,
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cache_type_k: "q4_0",
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cache_type_v: "f16", // <- WASM-safe (do NOT set q4_0 here)
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flash_attn: false, // WASM: flash attention unavailable
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progressCallback: ({ loaded, total }) => {
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const pct = (total && total > 0) ? Math.round(loaded / total * 100) : 0;
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$prog.style.width = pct + '%';
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}
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};
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const messages = [ { role: "system", content: sysPrompt } ];
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// βββ UI helpers βββ
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const ui = {
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add(role, text) {
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const row = document.createElement('div');
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row.className = 'msg ' + role;
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row.innerHTML = `
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<div class="role">${role}</div>
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<div class="bubble"></div>
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`;
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row.querySelector('.bubble').textContent = text;
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$chat.appendChild(row);
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$chat.scrollTop = $chat.scrollHeight;
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return row.querySelector('.bubble');
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},
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setStats(txt) { $stats.textContent = txt; }
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};
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function noteIsolation() {
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if (!crossOriginIsolated) {
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$iso.innerHTML = 'Single-thread mode (serve with COOP/COEP for multithread)';
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} else {
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$iso.textContent = 'Cross-origin isolated: multithread on';
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}
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}
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noteIsolation();
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function truncateHistoryForMobile(maxTokensRough = 900) {
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const maxChars = maxTokensRough * 4; // rough heuristic
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function clip(s) { return s.length <= maxChars ? s : ('β¦' + s.slice(s.length - maxChars)); }
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let kept = [messages[0]]; // keep system
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const lastTurns = messages.slice(-8);
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for (const m of lastTurns) kept.push({ role: m.role, content: clip(m.content) });
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messages.length = 0; messages.push(...kept);
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}
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async function ensureLoaded() {
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if (loaded) return;
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$prog.style.width = '0%';
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const choice = JSON.parse($model.value);
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ui.setStats('Fetching modelβ¦');
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await wllama.loadModelFromHF(choice.id, choice.file, LOAD_CONFIG);
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loaded = true;
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eotToken = wllama.getEOT();
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const meta = await wllama.getModelMetadata();
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const ctx = wllama.getLoadedContextInfo();
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const thr = wllama.getNumThreads?.() ?? 1;
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ui.setStats(`Loaded ${choice.file} β’ ${meta.n_params?.toLocaleString?.() || 'β360M'} params β’ ctx ${ctx.n_ctx} β’ threads ${thr}`);
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$load.disabled = true; $unload.disabled = false;
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}
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async function unloadModel() {
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try { await wllama.exit(); } catch {}
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loaded = false;
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$load.disabled = false; $unload.disabled = true;
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$prog.style.width = '0%';
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ui.setStats('idle');
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}
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// βββ Chat flow βββ
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document.getElementById('loadBtn').addEventListener('click', ensureLoaded);
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document.getElementById('unloadBtn').addEventListener('click', unloadModel);
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document.getElementById('stopBtn').addEventListener('click', () => aborter?.abort());
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| 203 |
+
$form.addEventListener('submit', async (ev) => {
|
| 204 |
+
ev.preventDefault();
|
| 205 |
+
const text = ($input.value || '').trim();
|
| 206 |
+
if (!text) return;
|
| 207 |
+
await ensureLoaded();
|
| 208 |
+
|
| 209 |
+
messages.push({ role: 'user', content: text });
|
| 210 |
+
const userBubble = ui.add('user', text);
|
| 211 |
+
$input.value = '';
|
| 212 |
+
|
| 213 |
+
const assistantBubble = ui.add('assistant', '');
|
| 214 |
+
truncateHistoryForMobile(900);
|
| 215 |
+
|
| 216 |
+
$send.disabled = true; $stop.disabled = true; // will flip to true once stream starts
|
| 217 |
+
aborter = new AbortController();
|
| 218 |
+
|
| 219 |
+
const nPredict = parseInt(document.getElementById('nPredict').value, 10);
|
| 220 |
+
const temp = parseFloat(document.getElementById('temp').value);
|
| 221 |
+
const top_p = parseFloat(document.getElementById('topp').value);
|
| 222 |
+
const top_k = parseInt(document.getElementById('topk').value, 10);
|
| 223 |
+
|
| 224 |
+
const t0 = performance.now();
|
| 225 |
+
let outText = '';
|
| 226 |
+
|
| 227 |
+
try {
|
| 228 |
+
$stop.disabled = false;
|
| 229 |
+
const stream = await wllama.createChatCompletion(messages, {
|
| 230 |
+
stream: true,
|
| 231 |
+
useCache: true,
|
| 232 |
+
nPredict,
|
| 233 |
+
sampling: { temp, top_p, top_k },
|
| 234 |
+
stopTokens: eotToken > 0 ? [eotToken] : undefined,
|
| 235 |
+
abortSignal: aborter.signal
|
| 236 |
+
});
|
| 237 |
+
|
| 238 |
+
for await (const chunk of stream) {
|
| 239 |
+
const piece = new TextDecoder().decode(chunk.piece);
|
| 240 |
+
outText += piece;
|
| 241 |
+
assistantBubble.textContent = outText;
|
| 242 |
+
$chat.scrollTop = $chat.scrollHeight;
|
| 243 |
+
}
|
| 244 |
+
const dt = (performance.now() - t0) / 1000;
|
| 245 |
+
const tokSec = Math.max(1, Math.round(outText.length / 4)) / dt;
|
| 246 |
+
ui.setStats(`gen: ${tokSec.toFixed(1)} tok/s (rough)`);
|
| 247 |
+
messages.push({ role: 'assistant', content: outText });
|
| 248 |
+
} catch (err) {
|
| 249 |
+
if (err && err.name === 'AbortError') {
|
| 250 |
+
assistantBubble.textContent += '\n\n[stopped]';
|
| 251 |
+
} else {
|
| 252 |
+
console.error(err);
|
| 253 |
+
assistantBubble.innerHTML += `\n\n<span class="warn">Error: ${String(err)}</span>`;
|
| 254 |
+
}
|
| 255 |
+
} finally {
|
| 256 |
+
$send.disabled = false; $stop.disabled = true;
|
| 257 |
+
aborter = null;
|
| 258 |
+
}
|
| 259 |
+
});
|
| 260 |
+
|
| 261 |
+
// Enter-to-send on mobile; Shift+Enter for newline
|
| 262 |
+
$input.addEventListener('keydown', (e) => {
|
| 263 |
+
if (e.key === 'Enter' && !e.shiftKey) {
|
| 264 |
+
e.preventDefault();
|
| 265 |
+
$send.click();
|
| 266 |
+
}
|
| 267 |
+
});
|
| 268 |
+
</script>
|
| 269 |
+
|
| 270 |
+
<!--
|
| 271 |
+
Notes:
|
| 272 |
+
β’ Fixed the 404 by importing explicit ESM entry and pointing to the exact wasm files on jsDelivr.
|
| 273 |
+
β’ Runs entirely on CPU via WebAssembly (no WebGPU). Works in single-thread everywhere; for multithread,
|
| 274 |
+
serve with COOP/COEP headers so SharedArrayBuffer is available.
|
| 275 |
+
β’ For even lower RAM or faster sampling, pick Q3_K_S or Q2_K in the dropdown, and keep n_ctx modest.
|
| 276 |
+
-->
|
| 277 |
+
</body>
|
| 278 |
</html>
|