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5477c5d | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 | <!DOCTYPE html>
<html>
<head>
<title>ONNX WebGPU Test</title>
<script type="module">
import { pipeline, TextStreamer } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@4.0.0-next.8/dist/transformers.min.js';
const log = (msg) => {
console.log(msg);
document.getElementById('log').textContent += msg + '\n';
};
const MODELS = {
reference: 'onnx-community/NVIDIA-Nemotron-3-Nano-4B-BF16-ONNX',
finetuned: 'bobber/lex-interviewer-nemotron-4b-grpo-v12',
};
window.runTest = async (modelKey) => {
const modelId = MODELS[modelKey];
document.getElementById('log').textContent = '';
log(`Testing: ${modelId}`);
log(`Device: webgpu`);
// Check WebGPU
if (!navigator.gpu) { log('❌ No WebGPU!'); return; }
const adapter = await navigator.gpu.requestAdapter();
log(`GPU: ${adapter ? (adapter.info?.description || adapter.name || 'adapter found') : 'no adapter'}`);
log('Loading pipeline (this downloads ~2.5GB)...');
const statusEl = document.getElementById('status');
statusEl.textContent = 'Downloading model...';
let gen;
try {
gen = await pipeline('text-generation', modelId, {
dtype: 'q4',
device: 'webgpu',
progress_callback: (p) => {
if (p.status === 'progress') {
const pct = Math.round((p.loaded / p.total) * 100);
statusEl.textContent = `Downloading: ${pct}%`;
}
}
});
} catch(e) {
log(`❌ Pipeline error: ${e.message}`);
return;
}
statusEl.textContent = 'Model loaded!';
log('Model loaded ✓');
// Test with thinking enabled
for (const enableThinking of [true, false]) {
log(`\n=== enable_thinking: ${enableThinking} ===`);
const allChunks = [];
const streamer = new TextStreamer(gen.tokenizer, {
skip_prompt: true,
skip_special_tokens: false,
callback_function: (output) => {
allChunks.push(output);
},
});
const messages = [
{ role: 'system', content: 'You are an AI interviewer. Ask one question at a time.' },
{ role: 'user', content: "I think neural networks are simple." },
];
log('Generating...');
await gen(messages, {
max_new_tokens: 512,
do_sample: false,
eos_token_id: [2, 11],
streamer,
tokenizer_encode_kwargs: { enable_thinking: enableThinking },
});
const fullText = allChunks.join('');
log(`Total chunks: ${allChunks.length}`);
log(`Total chars: ${fullText.length}`);
log(`Contains </think>: ${fullText.includes('</think>')}`);
log(`Contains <|im_end|>: ${fullText.includes('<|im_end|>')}`);
log(`First 3 chunks: ${allChunks.slice(0, 3).map(c => JSON.stringify(c)).join(', ')}`);
log(`Last 3 chunks: ${allChunks.slice(-3).map(c => JSON.stringify(c)).join(', ')}`);
if (fullText.includes('</think>')) {
const afterThink = fullText.slice(fullText.indexOf('</think>') + 8)
.replace(/<\|im_end\|>/g, '').trim();
log(`Content after </think>: ${JSON.stringify(afterThink.slice(0, 200))}`);
} else {
log(`❌ No </think> found!`);
log(`Full output (last 300): ${JSON.stringify(fullText.slice(-300))}`);
}
// Simulate the parser
let isFirst = true;
let inThink = false;
let reasoning = '';
let content = '';
let buf = '';
for (const chunk of allChunks) {
if (!chunk || chunk === '<|im_end|>') continue;
let text = chunk;
if (isFirst && enableThinking) { text = '<think>' + text; isFirst = false; }
else if (isFirst) { isFirst = false; }
buf += text;
while (buf.length > 0) {
if (inThink) {
const ci = buf.indexOf('</think>');
if (ci !== -1) {
reasoning += buf.slice(0, ci);
buf = buf.slice(ci + 8);
inThink = false;
continue;
}
reasoning += buf;
buf = '';
break;
}
const oi = buf.indexOf('<think>');
if (oi !== -1) {
content += buf.slice(0, oi);
buf = buf.slice(oi + 7);
inThink = true;
continue;
}
content += buf;
buf = '';
break;
}
}
log(`Parser result: content=${JSON.stringify(content.trim().slice(0, 200))}`);
log(`Parser result: reasoning_length=${reasoning.length}`);
log(`Parser result: still_in_think=${inThink}`);
log(`Would show "No response": ${!content.trim()}`);
}
log('\n✅ Test complete!');
statusEl.textContent = 'Test complete!';
};
</script>
</head>
<body style="font-family: monospace; padding: 20px; background: #1a1a1a; color: #eee;">
<h2>ONNX WebGPU Think-Tag Test</h2>
<p id="status">Ready</p>
<button onclick="runTest('reference')" style="padding: 10px 20px; margin: 5px;">Test Reference Model</button>
<button onclick="runTest('finetuned')" style="padding: 10px 20px; margin: 5px;">Test Fine-tuned Model</button>
<hr>
<pre id="log" style="white-space: pre-wrap; max-height: 80vh; overflow-y: auto;"></pre>
</body>
</html>
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