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<meta name="description" content="Advanced Data Intelligence: local GGUF models distilled at theLAB from frontier teachers." />
<title>ADI Models Lab</title>
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<p class="kicker"><span></span> Advanced Data Intelligence</p>
<h1 id="page-title">Distilled intelligence for local machines.</h1>
<p class="lede">
Compact ADI models distilled from frontier teachers, quantized to GGUF, and built at
<a href="https://thelabsource.com/projects/adi-models.php" target="_blank" rel="noreferrer">theLAB</a>
for Ollama, llama.cpp, and private local inference.
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<a class="button primary" href="https://thelabsource.com/projects/adi-models.php" target="_blank" rel="noreferrer">theLAB source</a>
<a class="button" href="https://huggingface.co/AdvancedDataIntelligence" target="_blank" rel="noreferrer">HF models</a>
<a class="button" href="https://huggingface.co/spaces/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-demo" target="_blank" rel="noreferrer">Live demo</a>
<a class="button" href="#console">Run local</a>
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<b>adi.local/distill</b>
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<p>teacher: glm-5.2</p>
<p>student: qwen3.5-4b</p>
<p>format: gguf:q4_k_m</p>
<p>runtime: ollama</p>
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<span>Explore the line</span>
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<p class="kicker"><span></span> Model rail</p>
<h2 id="models-title">Pick a student. Copy a command. Run offline.</h2>
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<button class="tab active" data-model="qwen35">Qwen3.5 4B</button>
<button class="tab" data-model="qwen359">Qwen3.5 9B</button>
<button class="tab" data-model="qwen3">Qwen3 8B</button>
<button class="tab" data-model="coder">Coder 7B</button>
<button class="tab" data-model="wake">Wakeword</button>
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<p class="model-kind" id="model-kind">general assistant</p>
<h3 id="model-name">adi-qwen3.5-4b-glm5.2-general</h3>
<p id="model-body">The smallest flagship ADI general model: distilled from glm-5.2 for practical local reasoning, explanation, and tool-aware chat.</p>
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<code id="model-command">ollama run hf.co/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-GGUF:Q4_K_M</code>
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<a id="model-link" class="button primary" href="https://huggingface.co/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-GGUF" target="_blank" rel="noreferrer">Open model card</a>
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<a class="demo-strip" href="https://huggingface.co/spaces/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-demo" target="_blank" rel="noreferrer" aria-label="Launch the ADI Qwen3.5 4B live demo">
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<b>Live browser demo</b>
<em>Try adi-qwen3.5-4b-glm5.2-general in Hugging Face Spaces.</em>
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<p class="kicker"><span></span> Local-first</p>
<h2 id="local-title">Not every intelligence should require an API call.</h2>
<p>
ADI is built for privacy, offline reliability, reproducible tools, and consumer hardware.
Local models keep useful intelligence close to the machine doing the work: available when
the network is not, inspectable when the stack matters, and practical without renting a
remote brain for every thought.
</p>
</div>
<ol class="timeline" aria-label="Distillation timeline">
<li><span>01</span><b>Seed prompts</b></li>
<li><span>02</span><b>Teacher answers</b></li>
<li><span>03</span><b>Student tune</b></li>
<li><span>04</span><b>GGUF</b></li>
<li><span>05</span><b>Ollama</b></li>
<li><span>06</span><b>Published</b></li>
</ol>
</section>
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<p class="kicker"><span></span> Pipeline</p>
<h2 id="pipeline-title">Teacher answers become local weights.</h2>
<p>
ADI is not a prompt wrapper. It is a repeatable distillation workflow:
seed prompts, teacher responses, student fine-tune, adapter merge,
GGUF conversion, local runtime, and public model cards.
</p>
<a class="button" href="https://huggingface.co/datasets/AdvancedDataIntelligence/glm5.2-general-distill" target="_blank" rel="noreferrer">View dataset</a>
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<img src="https://serve.thelabsource.com/u/oLHfvT.png" alt="ADI starter model lineup" />
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