mirror of
https://github.com/zenlm/zen.git
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Zen4: Update site with complete model family lineup
- Homepage: Zen4 Consumer, Coder, and Ultra model tables - Models page: Full Zen4 lineup with cards and comparison table - Added datasets page - Status labels: Available, Cloud Only, Coming Soon - All HuggingFace and GitHub links for zenlm/ repos
This commit is contained in:
Zach Kelling
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@@ -0,0 +1,344 @@
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import { Metadata } from 'next';
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export const metadata: Metadata = {
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title: 'Zen Agentic Dataset - 8.47B Tokens of Real AI Programming',
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description: 'Training dataset combining agentic programming sessions with 15 years of git history from 1,452 repositories',
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};
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export default function DatasetsPage() {
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return (
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<main>
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<section className="hero">
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<div className="container">
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<h2 className="hero-title">Zen Agentic Dataset</h2>
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<p className="hero-subtitle">8.47 Billion Tokens of Real-World Agentic Programming</p>
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<p className="hero-description">
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A comprehensive training dataset combining agentic programming interactions with full git history
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from 1,400+ repositories spanning 15 years of professional development across AI, Web3,
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cryptography, and modern software engineering.
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</p>
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</div>
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</section>
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<section className="dataset-stats architecture-section">
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<div className="container">
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<h2 className="section-title">Quick Stats</h2>
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<div className="arch-grid">
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<div className="arch-card">
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<div className="arch-icon">8.47B</div>
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<h3>Total Tokens</h3>
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</div>
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<div className="arch-card">
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<div className="arch-icon">3.35M</div>
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<h3>Training Samples</h3>
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</div>
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<div className="arch-card">
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<div className="arch-icon">100K</div>
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<h3>Validation Samples</h3>
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</div>
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<div className="arch-card">
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<div className="arch-icon">27 GB</div>
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<h3>Total Size</h3>
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</div>
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<div className="arch-card">
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<div className="arch-icon">1,452</div>
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<h3>Repositories</h3>
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</div>
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<div className="arch-card">
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<div className="arch-icon">15 yr</div>
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<h3>Time Span (2010-2025)</h3>
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</div>
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</div>
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</div>
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</section>
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<section className="data-composition architecture-section">
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<div className="container">
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<h2 className="section-title">Data Composition</h2>
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<table className="models-table">
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<thead>
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<tr>
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<th>Component</th>
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<th>Tokens</th>
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<th>Percentage</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Git History</td>
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<td>4.03B</td>
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<td>48%</td>
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</tr>
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<tr>
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<td>Agentic Debug Sessions</td>
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<td>2.42B</td>
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<td>29%</td>
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</tr>
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<tr>
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<td>Architecture Discussions</td>
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<td>1.14B</td>
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<td>13%</td>
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</tr>
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<tr>
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<td>Code Review Sessions</td>
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<td>0.86B</td>
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<td>10%</td>
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</tr>
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</tbody>
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</table>
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</div>
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</section>
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<section className="domain-coverage architecture-section">
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<div className="container">
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<h2 className="section-title">Domain Coverage</h2>
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<div className="arch-grid">
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<div className="arch-card">
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<div className="arch-icon">🤖</div>
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<h3>Agentic AI & LLM Infrastructure</h3>
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<ul>
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<li>Model Context Protocol (MCP) - 260+ tools</li>
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<li>Multi-agent orchestration</li>
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<li>Agent frameworks - planning, memory, reflection</li>
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<li>LLM Gateway - 100+ provider proxy</li>
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</ul>
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</div>
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<div className="arch-card">
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<div className="arch-icon">⛓️</div>
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<h3>Web3 & Blockchain</h3>
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<ul>
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<li>Smart contracts - Solidity, Vyper</li>
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<li>Consensus engines - Snow family, BFT, DAG</li>
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<li>Cross-chain bridges</li>
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<li>DeFi protocols - AMMs, lending, staking</li>
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</ul>
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</div>
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<div className="arch-card">
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<div className="arch-icon">🔐</div>
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<h3>Cryptography & Security</h3>
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<ul>
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<li>Post-quantum - Kyber, Dilithium, SPHINCS+</li>
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<li>Threshold cryptography - MPC, DKG</li>
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<li>Zero-knowledge proofs</li>
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<li>Key management - HD wallets</li>
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</ul>
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</div>
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<div className="arch-card">
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<div className="arch-icon">💻</div>
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<h3>Modern Development</h3>
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<ul>
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<li>Full-stack TypeScript - Next.js, React</li>
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<li>Systems - Rust, Go, Python, C/C++</li>
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||||
<li>DevOps - Docker, Kubernetes, CI/CD</li>
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||||
<li>Real-time systems - Event sourcing, CQRS</li>
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||||
</ul>
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</div>
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</div>
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</div>
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</section>
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<section className="languages-section architecture-section">
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<div className="container">
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<h2 className="section-title">Languages</h2>
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||||
<table className="models-table">
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||||
<thead>
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||||
<tr>
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||||
<th>Tier 1 (Core)</th>
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||||
<th>Tier 2 (Infrastructure)</th>
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||||
<th>Tier 3 (Specialized)</th>
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||||
</tr>
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||||
</thead>
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||||
<tbody>
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||||
<tr>
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||||
<td>Python</td>
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||||
<td>SQL</td>
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||||
<td>Solidity</td>
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||||
</tr>
|
||||
<tr>
|
||||
<td>TypeScript</td>
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||||
<td>Bash/Shell</td>
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||||
<td>C/C++</td>
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||||
</tr>
|
||||
<tr>
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||||
<td>JavaScript</td>
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||||
<td>YAML/TOML</td>
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||||
<td>Protobuf</td>
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||||
</tr>
|
||||
<tr>
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||||
<td>Rust</td>
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||||
<td>Dockerfile</td>
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||||
<td>GraphQL</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Go</td>
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||||
<td>Makefile</td>
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||||
<td>Move</td>
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||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="models-trained architecture-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Models Trained on This Dataset</h2>
|
||||
<table className="models-table">
|
||||
<thead>
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||||
<tr>
|
||||
<th>Model</th>
|
||||
<th>Size</th>
|
||||
<th>Architecture</th>
|
||||
<th>Status</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td><strong>Zen Coder 4B</strong></td>
|
||||
<td>4B</td>
|
||||
<td>Qwen3</td>
|
||||
<td><span className="status-trained">Trained</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen Coder 24B</strong></td>
|
||||
<td>24B</td>
|
||||
<td>Devstral Small 2</td>
|
||||
<td><span className="status-trained">Trained</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen Coder 123B</strong></td>
|
||||
<td>123B</td>
|
||||
<td>Devstral 2</td>
|
||||
<td><span className="status-training">Training</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen Coder Max</strong></td>
|
||||
<td>358B</td>
|
||||
<td>GLM-4.7 (MoE)</td>
|
||||
<td><span className="status-planned">Planned</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen Coder Ultra</strong></td>
|
||||
<td>1T</td>
|
||||
<td>Kimi K2 (MoE)</td>
|
||||
<td><span className="status-planned">Planned</span></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="unique-section architecture-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">What Makes This Dataset Unique</h2>
|
||||
<div className="arch-grid">
|
||||
<div className="arch-card">
|
||||
<h3>Real Agentic Programming</h3>
|
||||
<p>Unlike synthetic datasets, this contains <strong>actual agentic programming sessions</strong> showing real debugging workflows, multi-file refactoring decisions, architecture discussions, tool use patterns, and error recovery.</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<h3>Production Code Quality</h3>
|
||||
<p>Code that shipped to production systems. Security-audited smart contracts. Performance-optimized infrastructure. Battle-tested patterns from real deployments.</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="access-section architecture-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Access & Licensing</h2>
|
||||
<p style={{textAlign: 'center', marginBottom: '2rem'}}>
|
||||
This dataset is available for <strong>research and commercial licensing</strong>.
|
||||
</p>
|
||||
|
||||
<div className="arch-grid">
|
||||
<div className="arch-card">
|
||||
<h3>For Developers & Researchers</h3>
|
||||
<p>We award grants to individuals and teams building:</p>
|
||||
<ul>
|
||||
<li>Models for specific blockchain ecosystems</li>
|
||||
<li>Open-source AI tools using OpenAI-compatible protocols</li>
|
||||
<li>Research advancing agentic AI capabilities</li>
|
||||
<li>Infrastructure for decentralized AI training</li>
|
||||
</ul>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<h3>Request Access</h3>
|
||||
<p><strong>Email:</strong> <a href="mailto:z@hanzo.ai">z@hanzo.ai</a></p>
|
||||
<p>Please include:</p>
|
||||
<ul>
|
||||
<li>Intended use case (training, research, evaluation)</li>
|
||||
<li>Organization/affiliation</li>
|
||||
<li>Target ecosystem (if applicable)</li>
|
||||
<li>Licensing requirements</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div style={{textAlign: 'center', marginTop: '2rem'}}>
|
||||
<a href="mailto:z@hanzo.ai" className="btn btn-primary">Request Access</a>
|
||||
<a href="https://huggingface.co/datasets/hanzoai/zen-agentic-dataset" className="btn btn-secondary" target="_blank" rel="noopener noreferrer">View on HuggingFace</a>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="training-section architecture-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Training Framework</h2>
|
||||
<p style={{textAlign: 'center', marginBottom: '2rem'}}>
|
||||
Use <a href="https://github.com/zenlm/zen-trainer">zen-trainer</a> for fine-tuning:
|
||||
</p>
|
||||
<pre style={{background: '#1a1a1a', padding: '1.5rem', borderRadius: '8px', overflow: 'auto'}}>
|
||||
<code>{`from zen_trainer import ZenTrainer
|
||||
|
||||
trainer = ZenTrainer(
|
||||
model_key="qwen3-4b",
|
||||
dataset_path="hanzoai/zen-agentic-dataset-private", # Requires access
|
||||
output_dir="./output/my-model",
|
||||
)
|
||||
trainer.train()`}</code>
|
||||
</pre>
|
||||
<div style={{textAlign: 'center', marginTop: '2rem'}}>
|
||||
<a href="https://github.com/zenlm/zen-trainer" className="btn btn-primary" target="_blank" rel="noopener noreferrer">View zen-trainer</a>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="orgs-section architecture-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Supported Organizations</h2>
|
||||
<table className="models-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Organization</th>
|
||||
<th>Focus</th>
|
||||
<th>Role</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td><a href="https://hanzo.ai" target="_blank" rel="noopener noreferrer">Hanzo AI</a></td>
|
||||
<td>AI infrastructure</td>
|
||||
<td>Primary maintainer</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><a href="https://zenlm.org" target="_blank" rel="noopener noreferrer">Zen LM</a></td>
|
||||
<td>Open model research</td>
|
||||
<td>Model training</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><a href="https://zoo.ngo" target="_blank" rel="noopener noreferrer">Zoo Labs</a></td>
|
||||
<td>Decentralized AI</td>
|
||||
<td>Research grants</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><a href="https://lux.network" target="_blank" rel="noopener noreferrer">Lux Network</a></td>
|
||||
<td>AI compute settlement</td>
|
||||
<td>Infrastructure</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</section>
|
||||
</main>
|
||||
);
|
||||
}
|
||||
+3
-3
@@ -4,9 +4,9 @@ import Footer from '@/components/Footer';
|
||||
import './globals.css';
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: 'Zen LM - Real-Time AI for XR/VR/Robotics',
|
||||
description: 'Real-Time Hyper-Modal AI for XR/VR/Robotics',
|
||||
keywords: 'AI, XR, VR, Robotics, Language Models, Multimodal AI, 3D, Spatial Computing',
|
||||
title: 'Zen LM - Open Foundation Models for Agentic AI',
|
||||
description: '30+ open models from 0.6B to 1T parameters. Flagship Zen Coder trained on 8.47B tokens of real programming sessions.',
|
||||
keywords: 'AI, LLM, Agentic AI, Code Generation, Zen Coder, Multimodal, Open Source, Machine Learning',
|
||||
};
|
||||
|
||||
export default function RootLayout({
|
||||
|
||||
+317
-131
@@ -2,8 +2,8 @@ import Link from 'next/link';
|
||||
import { Metadata } from 'next';
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: 'Zen LM Models - Complete Model Family',
|
||||
description: 'Complete collection of Zen Language Models - from nano to next-gen, language to multimodal',
|
||||
title: 'Zen4 Models - Foundation Models from 4B to 1T+',
|
||||
description: 'Complete Zen4 model family - Consumer, Coder, and Ultra tiers built on abliterated Qwen3 and frontier MoE architectures',
|
||||
};
|
||||
|
||||
export default function ModelsPage() {
|
||||
@@ -11,57 +11,209 @@ export default function ModelsPage() {
|
||||
<main>
|
||||
<section className="hero">
|
||||
<div className="container">
|
||||
<h2 className="hero-title">Zen Model Family</h2>
|
||||
<p className="hero-subtitle">24+ models spanning language, vision, audio, video, 3D, and specialized tasks</p>
|
||||
<h2 className="hero-title">Zen4 Model Family</h2>
|
||||
<p className="hero-subtitle">Foundation models from 4B to 1T+ parameters</p>
|
||||
<p className="hero-description">
|
||||
Complete model collection from 0.6B to 1T+ parameters. From efficient edge deployment to powerful
|
||||
cloud inference, each model is optimized for specific use cases while maintaining the same high
|
||||
standards of performance, transparency, and open-source accessibility.
|
||||
Open, uncensored AI models built on abliterated weights from Qwen3 and frontier MoE architectures.
|
||||
From edge deployment to cloud-scale reasoning, Zen4 models run unrestricted with no safety theater.
|
||||
</p>
|
||||
<div className="hero-cta">
|
||||
<a href="https://huggingface.co/zenlm" className="btn btn-primary" target="_blank" rel="noopener noreferrer">Browse All Models</a>
|
||||
<Link href="/datasets" className="btn btn-secondary">Training Data</Link>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section id="core-models" className="models-section">
|
||||
{/* Zen4 Consumer Line */}
|
||||
<section id="consumer" className="models-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Core Language Models</h2>
|
||||
<p className="section-subtitle">Foundational models from nano to next-gen</p>
|
||||
<h2 className="section-title">Consumer Line</h2>
|
||||
<p className="section-subtitle">Dense and MoE models for desktop and edge deployment</p>
|
||||
|
||||
<div className="models-grid">
|
||||
{/* zen-nano */}
|
||||
<ModelCard
|
||||
name="zen-nano"
|
||||
name="Zen4 Mini"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '0.6B' },
|
||||
{ label: 'Base', value: 'Qwen3-0.6B' },
|
||||
{ label: 'Parameters', value: '4B dense' },
|
||||
{ label: 'Base', value: 'Qwen3-4B-Instruct-2507' },
|
||||
{ label: 'Context', value: '32K tokens' },
|
||||
{ label: 'Architecture', value: '28 layers, GQA' },
|
||||
{ label: 'Architecture', value: 'Dense, abliterated' },
|
||||
]}
|
||||
description="Ultra-efficient model for edge deployment and embedded systems. Perfect for on-device AI applications with minimal resource requirements."
|
||||
description="Ultra-efficient model for edge and mobile deployment. Full Qwen3 quality at 4B parameters with no safety restrictions."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen-nano"
|
||||
githubLink="https://github.com/zenlm/zen-nano"
|
||||
docsLink="https://github.com/zenlm/zen-nano/tree/main/docs"
|
||||
paperLink="/papers/zen-nano_whitepaper.pdf"
|
||||
hfLink="https://huggingface.co/zenlm/zen4-mini"
|
||||
githubLink="https://github.com/zenlm/zen4-mini"
|
||||
/>
|
||||
|
||||
{/* zen-eco */}
|
||||
<ModelCard
|
||||
name="zen-eco"
|
||||
name="Zen4"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '4B' },
|
||||
{ label: 'Base', value: 'Qwen3-3B' },
|
||||
{ label: 'Parameters', value: '8B dense' },
|
||||
{ label: 'Base', value: 'Qwen3-8B' },
|
||||
{ label: 'Context', value: '32K tokens' },
|
||||
{ label: 'Variants', value: 'Instruct, Agent, Coder, Thinking' },
|
||||
{ label: 'Architecture', value: 'Dense, abliterated' },
|
||||
]}
|
||||
description="Balanced performance and efficiency for general-purpose applications. Multiple specialized variants for different use cases."
|
||||
description="The standard Zen4 model. Excellent balance of quality and efficiency for general-purpose AI assistance."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen-eco"
|
||||
githubLink="https://github.com/zenlm/zen-eco"
|
||||
hfLink="https://huggingface.co/zenlm/zen4"
|
||||
githubLink="https://github.com/zenlm/zen4"
|
||||
/>
|
||||
|
||||
{/* zen-omni */}
|
||||
<ModelCard
|
||||
name="Zen4 Pro"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '14B dense' },
|
||||
{ label: 'Base', value: 'Qwen3-14B' },
|
||||
{ label: 'Context', value: '32K tokens' },
|
||||
{ label: 'Architecture', value: 'Dense, abliterated' },
|
||||
]}
|
||||
description="Professional-grade model for demanding tasks. Strong reasoning and code generation at a size that fits on most GPUs."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen4-pro"
|
||||
githubLink="https://github.com/zenlm/zen4-pro"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
name="Zen4 Max"
|
||||
status="Available"
|
||||
flagship={true}
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '30B MoE (3B active)' },
|
||||
{ label: 'Base', value: 'Qwen3-30B-A3B-Instruct-2507' },
|
||||
{ label: 'Context', value: '256K tokens' },
|
||||
{ label: 'Architecture', value: 'MoE, abliterated' },
|
||||
]}
|
||||
description="Flagship efficient model. 30B total parameters with only 3B active via Mixture-of-Experts - frontier performance on consumer hardware."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen4-max"
|
||||
githubLink="https://github.com/zenlm/zen4-max"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
name="Zen4 Max Pro"
|
||||
status="Available"
|
||||
flagship={true}
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '80B MoE (3B active)' },
|
||||
{ label: 'Base', value: 'Qwen3-Next-80B-A3B-Instruct' },
|
||||
{ label: 'Context', value: '256K tokens' },
|
||||
{ label: 'Architecture', value: 'Hybrid DeltaNet + MoE' },
|
||||
]}
|
||||
description="The ultimate consumer model. 80B parameters with hybrid Gated DeltaNet + Gated Attention + MoE architecture, running at just 3B active parameters."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen4-max-pro"
|
||||
githubLink="https://github.com/zenlm/zen4-max-pro"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
{/* Zen4 Coder Line */}
|
||||
<section id="coder" className="models-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Coder Line</h2>
|
||||
<p className="section-subtitle">Specialized models for agentic programming</p>
|
||||
|
||||
<div className="models-grid">
|
||||
<ModelCard
|
||||
name="Zen4 Coder Flash"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '31B MoE (3B active)' },
|
||||
{ label: 'Base', value: 'GLM-4.7-Flash' },
|
||||
{ label: 'Context', value: '131K tokens' },
|
||||
{ label: 'License', value: 'MIT' },
|
||||
]}
|
||||
description="Fast coding model for rapid iteration. GLM-4.7-Flash base with MoE efficiency - perfect for real-time code completion and quick edits."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen4-coder-flash"
|
||||
githubLink="https://github.com/zenlm/zen4-coder-flash"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
name="Zen4 Coder"
|
||||
status="Available"
|
||||
flagship={true}
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '80B MoE (3B active)' },
|
||||
{ label: 'Base', value: 'Qwen3-Coder-Next' },
|
||||
{ label: 'Context', value: '256K tokens' },
|
||||
{ label: 'Architecture', value: 'Hybrid DeltaNet + MoE (512 experts)' },
|
||||
]}
|
||||
description="Flagship coding model. 80B parameters with 512-expert MoE architecture for state-of-the-art code generation, debugging, and agentic programming."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen4-coder"
|
||||
githubLink="https://github.com/zenlm/zen4-coder"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
name="Zen4 Coder Pro"
|
||||
status="Cloud Only"
|
||||
frontier={true}
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '355B dense' },
|
||||
{ label: 'Base', value: 'GLM-4.7' },
|
||||
{ label: 'Context', value: '200K tokens' },
|
||||
{ label: 'License', value: 'MIT' },
|
||||
]}
|
||||
description="Dense 355B coding powerhouse. GLM-4.7 base for maximum code intelligence - available via cloud API."
|
||||
formats={['SafeTensors']}
|
||||
hfLink="https://huggingface.co/zenlm/zen4-coder-pro"
|
||||
githubLink="https://github.com/zenlm/zen4-coder-pro"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
{/* Zen4 Ultra Line */}
|
||||
<section id="ultra" className="models-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Ultra Line</h2>
|
||||
<p className="section-subtitle">Trillion-parameter models for cloud deployment</p>
|
||||
|
||||
<div className="models-grid">
|
||||
<ModelCard
|
||||
name="Zen4 Ultra"
|
||||
status="Cloud Only"
|
||||
frontier={true}
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '1.04T MoE (32B active)' },
|
||||
{ label: 'Base', value: 'Kimi K2.5 Thinking' },
|
||||
{ label: 'Context', value: '256K tokens' },
|
||||
{ label: 'Architecture', value: 'MoE (384 experts), Multimodal' },
|
||||
]}
|
||||
description="Trillion-parameter frontier model with 384 experts and vision capabilities via MoonViT. Cloud-only deployment for maximum intelligence."
|
||||
formats={['SafeTensors']}
|
||||
hfLink="https://huggingface.co/zenlm/zen4-ultra"
|
||||
githubLink="https://github.com/zenlm/zen4-ultra"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
name="Zen4 Ultra Max"
|
||||
status="Coming Soon"
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '1T+ MoE' },
|
||||
{ label: 'Base', value: 'DeepSeek V4' },
|
||||
{ label: 'Context', value: '1M tokens' },
|
||||
{ label: 'Architecture', value: 'MoE' },
|
||||
]}
|
||||
description="Next-generation trillion-parameter model with 1M context window. Based on DeepSeek V4 architecture."
|
||||
formats={['SafeTensors']}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
{/* Multimodal Models */}
|
||||
<section id="multimodal" className="models-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Multimodal & Specialized</h2>
|
||||
<p className="section-subtitle">Vision, audio, video, 3D, and domain-specific models</p>
|
||||
|
||||
<div className="models-grid">
|
||||
<ModelCard
|
||||
name="zen-omni"
|
||||
status="Available"
|
||||
@@ -71,96 +223,25 @@ export default function ModelsPage() {
|
||||
{ label: 'Modalities', value: 'Text + Vision + Audio' },
|
||||
{ label: 'Type', value: 'Multimodal' },
|
||||
]}
|
||||
description="Multimodal model based on Qwen3-Omni supporting text, vision, and audio understanding simultaneously. NOT Qwen2.5!"
|
||||
description="Multimodal model based on Qwen3-Omni supporting text, vision, and audio understanding simultaneously."
|
||||
formats={['SafeTensors']}
|
||||
hfLink="https://huggingface.co/zenlm/zen-omni"
|
||||
githubLink="https://github.com/zenlm/zen-omni"
|
||||
docsLink="https://github.com/zenlm/zen-omni/tree/main/docs"
|
||||
paperLink="/papers/zen-omni_whitepaper.pdf"
|
||||
/>
|
||||
|
||||
{/* zen-coder */}
|
||||
<ModelCard
|
||||
name="zen-coder"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '14B' },
|
||||
{ label: 'Base', value: 'Qwen3-Coder-14B' },
|
||||
{ label: 'Context', value: '128K tokens' },
|
||||
{ label: 'Focus', value: 'Code Generation' },
|
||||
]}
|
||||
description="Specialized for code generation, debugging, and software engineering tasks. Supports 100+ programming languages with extended context."
|
||||
formats={['SafeTensors', 'GGUF', 'MLX']}
|
||||
hfLink="https://huggingface.co/zenlm/zen-coder"
|
||||
githubLink="https://github.com/zenlm/zen-coder"
|
||||
/>
|
||||
|
||||
{/* zen-next */}
|
||||
<ModelCard
|
||||
name="zen-next"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Parameters', value: '32B' },
|
||||
{ label: 'Base', value: 'Qwen3-32B' },
|
||||
{ label: 'Context', value: '32K tokens' },
|
||||
{ label: 'Focus', value: 'Frontier' },
|
||||
]}
|
||||
description="Our flagship model pushing the boundaries of performance and capability. For the most demanding applications requiring maximum intelligence."
|
||||
formats={['SafeTensors', 'GGUF']}
|
||||
githubLink="https://github.com/zenlm/zen-next"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section id="multimodal" className="models-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Multimodal Models</h2>
|
||||
<p className="section-subtitle">Vision, Audio, Video, and 3D Generation</p>
|
||||
|
||||
<div className="models-grid">
|
||||
<ModelCard
|
||||
name="zen-vl"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Type', value: 'Vision-Language' },
|
||||
{ label: 'Base', value: 'Qwen3-VL' },
|
||||
{ label: 'Sizes', value: '4B, 8B, 30B' },
|
||||
{ label: 'Variants', value: 'Instruct, Agent' },
|
||||
{ label: 'Focus', value: 'Function Calling' },
|
||||
]}
|
||||
description="Next-generation vision-language model with advanced function calling capabilities. Trained on Agent Data Protocol (ADP) and xLAM datasets for superior agent performance and tool use."
|
||||
formats={['SafeTensors', 'GGUF']}
|
||||
hfLink="https://huggingface.co/zenlm/zen-vl-4b-instruct"
|
||||
githubLink="https://github.com/zenlm/zen-vl"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
name="zen-designer"
|
||||
name="zen-vl"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Type', value: 'Vision-Language' },
|
||||
{ label: 'Base', value: 'Qwen-VL' },
|
||||
{ label: 'Variants', value: 'Instruct, Thinking' },
|
||||
{ label: 'Focus', value: 'Visual Understanding' },
|
||||
{ label: 'Base', value: 'Qwen3-VL' },
|
||||
{ label: 'Sizes', value: '4B, 8B, 30B' },
|
||||
{ label: 'Focus', value: 'Function Calling' },
|
||||
]}
|
||||
description="Advanced vision-language model for image understanding, analysis, and reasoning. Supports visual question answering, OCR, and detailed scene description."
|
||||
formats={['SafeTensors']}
|
||||
githubLink="https://github.com/zenlm/zen-designer"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
name="zen-artist"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Type', value: 'Text-to-Image' },
|
||||
{ label: 'Base', value: 'Qwen-Image' },
|
||||
{ label: 'Variants', value: 'Base, Edit' },
|
||||
{ label: 'Focus', value: 'Image Generation' },
|
||||
]}
|
||||
description="High-quality image generation from text descriptions. zen-artist-edit provides advanced image editing capabilities with natural language instructions."
|
||||
formats={['SafeTensors', 'Diffusers']}
|
||||
githubLink="https://github.com/zenlm/zen-artist"
|
||||
description="Vision-language model with advanced function calling. Trained on Agent Data Protocol and xLAM datasets for tool use."
|
||||
formats={['SafeTensors', 'GGUF']}
|
||||
hfLink="https://huggingface.co/zenlm/zen-vl-4b-instruct"
|
||||
githubLink="https://github.com/zenlm/zen-vl"
|
||||
/>
|
||||
|
||||
<ModelCard
|
||||
@@ -172,7 +253,7 @@ export default function ModelsPage() {
|
||||
{ label: 'Variants', value: 'T2V, I2V' },
|
||||
{ label: 'Focus', value: 'Video Generation' },
|
||||
]}
|
||||
description="State-of-the-art video generation from text descriptions. zen-video-i2v provides image-to-video generation with fine control over motion and dynamics."
|
||||
description="State-of-the-art video generation from text descriptions with image-to-video capabilities."
|
||||
formats={['SafeTensors']}
|
||||
githubLink="https://github.com/zenlm/zen-video"
|
||||
/>
|
||||
@@ -186,24 +267,124 @@ export default function ModelsPage() {
|
||||
{ label: 'Output', value: '3D Meshes' },
|
||||
{ label: 'Focus', value: '3D Assets' },
|
||||
]}
|
||||
description="Generate high-quality 3D models from various input modalities. Perfect for game development, AR/VR, and 3D content creation."
|
||||
description="Generate high-quality 3D models from various inputs. For game dev, AR/VR, and 3D content creation."
|
||||
formats={['SafeTensors']}
|
||||
githubLink="https://github.com/zenlm/zen-3d"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<ModelCard
|
||||
name="zen-musician"
|
||||
status="Available"
|
||||
specs={[
|
||||
{ label: 'Type', value: 'Music Generation' },
|
||||
{ label: 'Input', value: 'Text, Audio' },
|
||||
{ label: 'Output', value: 'Music, Audio' },
|
||||
{ label: 'Focus', value: 'Music Creation' },
|
||||
]}
|
||||
description="Generate high-quality music from text descriptions or audio samples. Supports multiple genres, instruments, and musical styles."
|
||||
formats={['SafeTensors']}
|
||||
githubLink="https://github.com/zenlm/zen-musician"
|
||||
/>
|
||||
{/* Comparison Table */}
|
||||
<section id="comparison" className="featured-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Full Zen4 Lineup</h2>
|
||||
<div className="model-lineup">
|
||||
<table className="models-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Model</th>
|
||||
<th>Parameters</th>
|
||||
<th>Active</th>
|
||||
<th>Base</th>
|
||||
<th>Context</th>
|
||||
<th>License</th>
|
||||
<th>HuggingFace</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td><strong>Zen4 Mini</strong></td>
|
||||
<td>4B</td>
|
||||
<td>4B</td>
|
||||
<td>Qwen3-4B</td>
|
||||
<td>32K</td>
|
||||
<td>Apache 2.0</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-mini" target="_blank" rel="noopener noreferrer">zenlm/zen4-mini</a></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4</strong></td>
|
||||
<td>8B</td>
|
||||
<td>8B</td>
|
||||
<td>Qwen3-8B</td>
|
||||
<td>32K</td>
|
||||
<td>Apache 2.0</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4" target="_blank" rel="noopener noreferrer">zenlm/zen4</a></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Pro</strong></td>
|
||||
<td>14B</td>
|
||||
<td>14B</td>
|
||||
<td>Qwen3-14B</td>
|
||||
<td>32K</td>
|
||||
<td>Apache 2.0</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-pro" target="_blank" rel="noopener noreferrer">zenlm/zen4-pro</a></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Max</strong></td>
|
||||
<td>30B MoE</td>
|
||||
<td>3B</td>
|
||||
<td>Qwen3-30B-A3B</td>
|
||||
<td>256K</td>
|
||||
<td>Apache 2.0</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-max" target="_blank" rel="noopener noreferrer">zenlm/zen4-max</a></td>
|
||||
</tr>
|
||||
<tr className="flagship-row">
|
||||
<td><strong>Zen4 Max Pro</strong></td>
|
||||
<td>80B MoE</td>
|
||||
<td>3B</td>
|
||||
<td>Qwen3-Next-80B</td>
|
||||
<td>256K</td>
|
||||
<td>Apache 2.0</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-max-pro" target="_blank" rel="noopener noreferrer">zenlm/zen4-max-pro</a></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Coder Flash</strong></td>
|
||||
<td>31B MoE</td>
|
||||
<td>3B</td>
|
||||
<td>GLM-4.7-Flash</td>
|
||||
<td>131K</td>
|
||||
<td>MIT</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-coder-flash" target="_blank" rel="noopener noreferrer">zenlm/zen4-coder-flash</a></td>
|
||||
</tr>
|
||||
<tr className="flagship-row">
|
||||
<td><strong>Zen4 Coder</strong></td>
|
||||
<td>80B MoE</td>
|
||||
<td>3B</td>
|
||||
<td>Qwen3-Coder-Next</td>
|
||||
<td>256K</td>
|
||||
<td>Apache 2.0</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-coder" target="_blank" rel="noopener noreferrer">zenlm/zen4-coder</a></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Coder Pro</strong></td>
|
||||
<td>355B</td>
|
||||
<td>355B</td>
|
||||
<td>GLM-4.7</td>
|
||||
<td>200K</td>
|
||||
<td>MIT</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-coder-pro" target="_blank" rel="noopener noreferrer">zenlm/zen4-coder-pro</a></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Ultra</strong></td>
|
||||
<td>1.04T MoE</td>
|
||||
<td>32B</td>
|
||||
<td>Kimi K2.5</td>
|
||||
<td>256K</td>
|
||||
<td>MIT</td>
|
||||
<td><a href="https://huggingface.co/zenlm/zen4-ultra" target="_blank" rel="noopener noreferrer">zenlm/zen4-ultra</a></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Ultra Max</strong></td>
|
||||
<td>1T+ MoE</td>
|
||||
<td>TBD</td>
|
||||
<td>DeepSeek V4</td>
|
||||
<td>1M</td>
|
||||
<td>-</td>
|
||||
<td><span className="status-planned">Coming Soon</span></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
@@ -217,18 +398,23 @@ interface ModelCardProps {
|
||||
specs: Array<{ label: string; value: string }>;
|
||||
description: string;
|
||||
formats: string[];
|
||||
flagship?: boolean;
|
||||
frontier?: boolean;
|
||||
hfLink?: string;
|
||||
githubLink?: string;
|
||||
docsLink?: string;
|
||||
paperLink?: string;
|
||||
}
|
||||
|
||||
function ModelCard({ name, status, specs, description, formats, hfLink, githubLink, docsLink, paperLink }: ModelCardProps) {
|
||||
function ModelCard({ name, status, specs, description, formats, flagship, frontier, hfLink, githubLink, docsLink, paperLink }: ModelCardProps) {
|
||||
const badgeClass = status === 'Coming Soon' ? 'badge badge-planned' :
|
||||
status === 'Cloud Only' ? 'badge badge-cloud' :
|
||||
'badge badge-complete';
|
||||
return (
|
||||
<div className="model-card complete">
|
||||
<div className={`model-card complete${flagship ? ' flagship' : ''}${frontier ? ' frontier' : ''}`}>
|
||||
<div className="model-header">
|
||||
<h3>{name}</h3>
|
||||
<span className="badge badge-complete">{status}</span>
|
||||
<span className={badgeClass}>{status}</span>
|
||||
</div>
|
||||
<div className="model-specs">
|
||||
{specs.map((spec, idx) => (
|
||||
@@ -247,22 +433,22 @@ function ModelCard({ name, status, specs, description, formats, hfLink, githubLi
|
||||
<div className="model-actions">
|
||||
{hfLink && (
|
||||
<a href={hfLink} className="btn btn-sm btn-primary" target="_blank" rel="noopener noreferrer">
|
||||
🤗 HF
|
||||
HuggingFace
|
||||
</a>
|
||||
)}
|
||||
{githubLink && (
|
||||
<a href={githubLink} className="btn btn-sm btn-secondary" target="_blank" rel="noopener noreferrer">
|
||||
📦 GitHub
|
||||
GitHub
|
||||
</a>
|
||||
)}
|
||||
{docsLink && (
|
||||
<a href={docsLink} className="btn btn-sm btn-secondary" target="_blank" rel="noopener noreferrer">
|
||||
📖 Docs
|
||||
Docs
|
||||
</a>
|
||||
)}
|
||||
{paperLink && (
|
||||
<a href={paperLink} className="btn btn-sm btn-secondary" target="_blank" rel="noopener noreferrer">
|
||||
📄 Paper
|
||||
Paper
|
||||
</a>
|
||||
)}
|
||||
</div>
|
||||
|
||||
+224
-42
@@ -5,73 +5,250 @@ export default function Home() {
|
||||
<main>
|
||||
<section className="hero">
|
||||
<div className="container">
|
||||
<h2 className="hero-title">Real-Time Hyper-Modal AI for XR/VR/Robotics</h2>
|
||||
<p className="hero-subtitle">Ultra-low latency models with spatial awareness for immersive experiences</p>
|
||||
<h2 className="hero-title">Zen4 - Open Foundation Models for Agentic AI</h2>
|
||||
<p className="hero-subtitle">The Zen4 model family: 4B to 1T+ parameters built on Qwen3 and frontier MoE architectures</p>
|
||||
<p className="hero-description">
|
||||
Zen LM powers next-generation XR/VR applications and robotic systems with real-time multimodal understanding.
|
||||
From 3D scene generation to spatial audio, from gesture recognition to embodied navigation - our models deliver
|
||||
sub-10ms latency for seamless human-AI interaction in extended reality and physical environments.
|
||||
Zen4 delivers production-ready AI models across Consumer, Coder, and Ultra tiers.
|
||||
From the 4B Zen4 Mini for edge devices to the flagship Zen4 Max Pro (80B MoE) and Zen4 Coder for agentic programming,
|
||||
every model is trained on 8.47 billion tokens of real-world development data.
|
||||
</p>
|
||||
<div className="hero-cta">
|
||||
<Link href="/models" className="btn btn-primary">Explore Models</Link>
|
||||
<Link href="/research" className="btn btn-secondary">Read Research</Link>
|
||||
<Link href="/datasets" className="btn btn-secondary">Training Data</Link>
|
||||
<Link href="/research" className="btn btn-outline">Research Papers</Link>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
{/* Zen4 Model Family */}
|
||||
<section id="zen4" className="featured-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Zen4 Model Family</h2>
|
||||
<p className="section-subtitle">Consumer, Coder, and Ultra tiers built on Qwen3 and frontier MoE architectures</p>
|
||||
|
||||
<h3 className="section-title" style={{fontSize: '1.4rem', marginTop: '2rem'}}>Consumer Line</h3>
|
||||
<div className="model-lineup">
|
||||
<table className="models-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Model</th>
|
||||
<th>Size</th>
|
||||
<th>Base</th>
|
||||
<th>Architecture</th>
|
||||
<th>Context</th>
|
||||
<th>Status</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td><strong>Zen4 Mini</strong></td>
|
||||
<td>4B</td>
|
||||
<td>Qwen3-4B</td>
|
||||
<td>Dense</td>
|
||||
<td>32K</td>
|
||||
<td><span className="status-trained">Available</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4</strong></td>
|
||||
<td>8B</td>
|
||||
<td>Qwen3-8B</td>
|
||||
<td>Dense</td>
|
||||
<td>32K</td>
|
||||
<td><span className="status-trained">Available</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Pro</strong></td>
|
||||
<td>14B</td>
|
||||
<td>Qwen3-14B</td>
|
||||
<td>Dense</td>
|
||||
<td>32K</td>
|
||||
<td><span className="status-trained">Available</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Max</strong></td>
|
||||
<td>30B MoE (3B active)</td>
|
||||
<td>Qwen3-30B-A3B</td>
|
||||
<td>MoE</td>
|
||||
<td>256K</td>
|
||||
<td><span className="status-trained">Available</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Max Pro</strong> <span className="status-flagship">FLAGSHIP</span></td>
|
||||
<td>80B MoE (3B active)</td>
|
||||
<td>Qwen3-Next-80B-A3B</td>
|
||||
<td>MoE</td>
|
||||
<td>256K</td>
|
||||
<td><span className="status-trained">Available</span></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
|
||||
<h3 className="section-title" style={{fontSize: '1.4rem', marginTop: '2rem'}}>Coder Line</h3>
|
||||
<div className="model-lineup">
|
||||
<table className="models-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Model</th>
|
||||
<th>Size</th>
|
||||
<th>Base</th>
|
||||
<th>Architecture</th>
|
||||
<th>Context</th>
|
||||
<th>Status</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td><strong>Zen4 Coder Flash</strong></td>
|
||||
<td>31B MoE (3B active)</td>
|
||||
<td>GLM-4.7-Flash</td>
|
||||
<td>MoE</td>
|
||||
<td>131K</td>
|
||||
<td><span className="status-trained">Available</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Coder</strong> <span className="status-flagship">FLAGSHIP CODE</span></td>
|
||||
<td>80B MoE (3B active)</td>
|
||||
<td>Qwen3-Coder-Next</td>
|
||||
<td>MoE</td>
|
||||
<td>256K</td>
|
||||
<td><span className="status-trained">Available</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Coder Pro</strong></td>
|
||||
<td>355B</td>
|
||||
<td>GLM-4.7</td>
|
||||
<td>Dense</td>
|
||||
<td>200K</td>
|
||||
<td><span className="status-cloud">Cloud Only</span></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
|
||||
<h3 className="section-title" style={{fontSize: '1.4rem', marginTop: '2rem'}}>Ultra Line</h3>
|
||||
<div className="model-lineup">
|
||||
<table className="models-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Model</th>
|
||||
<th>Size</th>
|
||||
<th>Base</th>
|
||||
<th>Architecture</th>
|
||||
<th>Context</th>
|
||||
<th>Status</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td><strong>Zen4 Ultra</strong></td>
|
||||
<td>1.04T MoE (32B active)</td>
|
||||
<td>Kimi K2.5</td>
|
||||
<td>MoE</td>
|
||||
<td>256K</td>
|
||||
<td><span className="status-cloud">Cloud Only</span></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><strong>Zen4 Ultra Max</strong></td>
|
||||
<td>1T+ MoE</td>
|
||||
<td>DeepSeek V4</td>
|
||||
<td>MoE</td>
|
||||
<td>-</td>
|
||||
<td><span className="status-planned">Coming Soon</span></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
|
||||
<div className="coder-features arch-grid">
|
||||
<div className="arch-card">
|
||||
<h3>Real Agentic Data</h3>
|
||||
<p>Trained on actual agentic debug sessions - not synthetic data. Real debugging workflows, multi-file refactoring, and tool use patterns.</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<h3>Production Code</h3>
|
||||
<p>15 years of professional development across AI, Web3, cryptography, and modern software engineering from 1,452 repositories.</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<h3>Open Training</h3>
|
||||
<p>Use <a href="https://github.com/zenlm/zen-trainer">zen-trainer</a> to fine-tune on your own data. Supports MLX (Apple Silicon), Unsloth, and DeepSpeed.</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section id="overview" className="architecture-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Complete AI Stack for Immersive Computing</h2>
|
||||
<h2 className="section-title">Zen4 Architecture</h2>
|
||||
<div className="arch-grid">
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">🧠</div>
|
||||
<h3>Core Language Models</h3>
|
||||
<p>6 models from 0.6B to 1T+ parameters for edge to cloud deployment. Optimized for real-time instruction following and reasoning in XR environments.</p>
|
||||
<h3>Consumer Line</h3>
|
||||
<p>5 models from 4B to 80B MoE. Dense models for edge and desktop, MoE flagships for frontier reasoning with only 3B active parameters.</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">👁️</div>
|
||||
<h3>Multimodal Models</h3>
|
||||
<p>10 specialized models for vision, audio, video, 3D generation, and spatial understanding. Built for seamless integration with XR/VR platforms.</p>
|
||||
<div className="arch-icon">💻</div>
|
||||
<h3>Coder Line</h3>
|
||||
<p>2 MoE coding models trained on 8.47B tokens of agentic programming data. Zen4 Coder Flash for speed, Zen4 Coder for state-of-the-art.</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">🤖</div>
|
||||
<h3>Specialized Systems</h3>
|
||||
<p>Agent frameworks, safety guardrails, embeddings, and IDE tools. Production-ready infrastructure for embodied AI and robotic applications.</p>
|
||||
<div className="arch-icon">🚀</div>
|
||||
<h3>Ultra Line</h3>
|
||||
<p>Trillion-parameter MoE models for cloud deployment. Zen4 Ultra (1.04T, Kimi K2.5) and Zen4 Ultra Max (DeepSeek V4, coming soon).</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">⚡</div>
|
||||
<h3>High-Performance Infrastructure</h3>
|
||||
<p>Rust-based inference engine with GGUF quantization, training frameworks, and deployment tools for real-time performance.</p>
|
||||
<h3>Efficient MoE</h3>
|
||||
<p>Mixture-of-Experts architecture delivers frontier performance with only 3B active parameters - runs on consumer hardware.</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">📐</div>
|
||||
<h3>Long Context</h3>
|
||||
<p>Up to 256K context window on MoE models. Dense models support 32K context for efficient local inference.</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">🔬</div>
|
||||
<h3>Qwen3 Foundation</h3>
|
||||
<p>Built on the Qwen3 model family for proven quality. Consumer and Coder lines leverage Qwen3 dense and MoE checkpoints.</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section id="why-zen" className="architecture-section">
|
||||
{/* Dataset Section */}
|
||||
<section id="dataset" className="dataset-section">
|
||||
<div className="container">
|
||||
<h2 className="section-title">Why Zen for XR/VR/Robotics?</h2>
|
||||
<h2 className="section-title">Zen Agentic Dataset</h2>
|
||||
<p className="section-subtitle">8.47 Billion Tokens of Real-World Agentic Programming</p>
|
||||
|
||||
<div className="arch-grid">
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">⚡</div>
|
||||
<h3>Real-Time Performance</h3>
|
||||
<p>Sub-10ms latency with optimized quantization and edge deployment. Seamless integration with XR headsets and robotic control systems.</p>
|
||||
<div className="arch-icon">8.47B</div>
|
||||
<h3>Tokens</h3>
|
||||
<p>Total training tokens across all data sources</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">🌐</div>
|
||||
<h3>Spatial Awareness</h3>
|
||||
<p>Native 3D understanding, scene generation, and spatial audio processing. Built for immersive environments and physical world interaction.</p>
|
||||
<div className="arch-icon">3.35M</div>
|
||||
<h3>Samples</h3>
|
||||
<p>Training samples with conversation context</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">🎯</div>
|
||||
<h3>Multimodal Fusion</h3>
|
||||
<p>Unified understanding across vision, language, audio, and 3D. Real-time gesture recognition, voice commands, and environmental awareness.</p>
|
||||
<div className="arch-icon">1,452</div>
|
||||
<h3>Repositories</h3>
|
||||
<p>Open source and private codebases</p>
|
||||
</div>
|
||||
<div className="arch-card">
|
||||
<div className="arch-icon">🔒</div>
|
||||
<h3>Open Source & Transparent</h3>
|
||||
<p>Fully open models, training code, and infrastructure. Complete control for customization, fine-tuning, and deployment on any platform.</p>
|
||||
<div className="arch-icon">15yr</div>
|
||||
<h3>History</h3>
|
||||
<p>Years of development history (2010-2025)</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="dataset-cta" style={{textAlign: 'center', marginTop: '2rem'}}>
|
||||
<p>Available for research and commercial licensing.</p>
|
||||
<a href="mailto:z@hanzo.ai" className="btn btn-primary">Request Access</a>
|
||||
<a href="https://huggingface.co/datasets/hanzoai/zen-agentic-dataset" className="btn btn-secondary" target="_blank" rel="noopener noreferrer">View on HuggingFace</a>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
@@ -80,26 +257,31 @@ export default function Home() {
|
||||
<h2 className="section-title">Get Started</h2>
|
||||
<div className="download-grid">
|
||||
<div className="download-card">
|
||||
<h3>🤗 HuggingFace</h3>
|
||||
<p>Access all 24+ models via HuggingFace Hub with easy integration</p>
|
||||
<h3>Download Zen4 Models</h3>
|
||||
<p>All Zen4 models available on HuggingFace Hub</p>
|
||||
<a href="https://huggingface.co/zenlm" className="btn btn-primary" target="_blank" rel="noopener noreferrer">
|
||||
Visit HuggingFace
|
||||
Browse All Models
|
||||
</a>
|
||||
</div>
|
||||
<div className="download-card">
|
||||
<h3>💻 GitHub</h3>
|
||||
<p>Training code, datasets, documentation, and complete source</p>
|
||||
<a href="https://github.com/zenlm" className="btn btn-primary" target="_blank" rel="noopener noreferrer">
|
||||
View on GitHub
|
||||
<h3>Zen4 Max Pro (Flagship)</h3>
|
||||
<p>80B MoE, 3B active - runs on consumer hardware</p>
|
||||
<a href="https://huggingface.co/zenlm/zen4-max-pro" className="btn btn-primary" target="_blank" rel="noopener noreferrer">
|
||||
Download
|
||||
</a>
|
||||
</div>
|
||||
<div className="download-card">
|
||||
<h3>📚 Documentation</h3>
|
||||
<p>Comprehensive guides, papers, and tutorials for all models</p>
|
||||
<a href="https://github.com/zenlm/zen-blog" className="btn btn-primary" target="_blank" rel="noopener noreferrer">
|
||||
Read Docs
|
||||
<h3>Zen4 Coder (Flagship Code)</h3>
|
||||
<p>80B MoE, 3B active - agentic programming</p>
|
||||
<a href="https://huggingface.co/zenlm/zen4-coder" className="btn btn-primary" target="_blank" rel="noopener noreferrer">
|
||||
Download
|
||||
</a>
|
||||
</div>
|
||||
<div className="download-card">
|
||||
<h3>zen-trainer</h3>
|
||||
<p>Fine-tune Zen4 models on your own data</p>
|
||||
<pre><code>pip install zen-trainer</code></pre>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
+15
-14
@@ -7,35 +7,36 @@ export default function Footer() {
|
||||
<div className="footer-content">
|
||||
<div className="footer-section">
|
||||
<h4>Zen LM</h4>
|
||||
<p>Real-time hyper-modal AI for XR/VR/Robotics. From language to multimodal, nano to next-gen.</p>
|
||||
<p>Open foundation models for agentic AI. 30+ models from 0.6B to 1T parameters.</p>
|
||||
</div>
|
||||
<div className="footer-section">
|
||||
<h4>Core Models</h4>
|
||||
<h4>Zen Coder</h4>
|
||||
<ul>
|
||||
<li><Link href="/models#zen-coder">Zen Coder 4B</Link></li>
|
||||
<li><Link href="/models#zen-coder">Zen Coder 24B</Link></li>
|
||||
<li><Link href="/models#zen-coder">Zen Coder 123B</Link></li>
|
||||
<li><Link href="/models#zen-coder">Zen Coder Max (358B)</Link></li>
|
||||
<li><Link href="/models#zen-coder">Zen Coder Ultra (1T)</Link></li>
|
||||
</ul>
|
||||
</div>
|
||||
<div className="footer-section">
|
||||
<h4>Model Family</h4>
|
||||
<ul>
|
||||
<li><Link href="/models#core-models">zen-nano (0.6B)</Link></li>
|
||||
<li><Link href="/models#core-models">zen-eco (4B)</Link></li>
|
||||
<li><Link href="/models#core-models">zen-omni (7B)</Link></li>
|
||||
<li><Link href="/models#core-models">zen-coder (14B)</Link></li>
|
||||
<li><Link href="/models#core-models">zen-next (32B)</Link></li>
|
||||
</ul>
|
||||
</div>
|
||||
<div className="footer-section">
|
||||
<h4>Multimodal</h4>
|
||||
<ul>
|
||||
<li><Link href="/models#multimodal">zen-designer (Vision)</Link></li>
|
||||
<li><Link href="/models#multimodal">zen-artist (Image)</Link></li>
|
||||
<li><Link href="/models#multimodal">zen-video (Video)</Link></li>
|
||||
<li><Link href="/models#multimodal">zen-vl (Vision)</Link></li>
|
||||
<li><Link href="/models#multimodal">zen-3d (3D Gen)</Link></li>
|
||||
<li><Link href="/models#multimodal">zen-musician (Music)</Link></li>
|
||||
</ul>
|
||||
</div>
|
||||
<div className="footer-section">
|
||||
<h4>Resources</h4>
|
||||
<ul>
|
||||
<li><Link href="/datasets">Training Data</Link></li>
|
||||
<li><a href="https://huggingface.co/zenlm" target="_blank" rel="noopener noreferrer">HuggingFace</a></li>
|
||||
<li><a href="https://github.com/zenlm" target="_blank" rel="noopener noreferrer">GitHub</a></li>
|
||||
<li><Link href="/research">Research Papers</Link></li>
|
||||
<li><a href="https://github.com/QwenLM/Qwen3" target="_blank" rel="noopener noreferrer">Qwen3</a></li>
|
||||
<li><a href="https://github.com/zenlm/zen-trainer" target="_blank" rel="noopener noreferrer">zen-trainer</a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -32,6 +32,9 @@ export default function Header() {
|
||||
<Link href="/models" className={isActive('/models') ? 'active' : ''}>
|
||||
Models
|
||||
</Link>
|
||||
<Link href="/datasets" className={isActive('/datasets') ? 'active' : ''}>
|
||||
Datasets
|
||||
</Link>
|
||||
<Link href="/research" className={isActive('/research') ? 'active' : ''}>
|
||||
Research
|
||||
</Link>
|
||||
|
||||
+14
-5
@@ -29,13 +29,22 @@
|
||||
}
|
||||
},
|
||||
"include": [
|
||||
"**/*.ts",
|
||||
"**/*.tsx",
|
||||
"src/**/*.ts",
|
||||
"src/**/*.tsx",
|
||||
".next/types/**/*.ts",
|
||||
"next-env.d.ts",
|
||||
"docs/types/**/*.ts"
|
||||
"next-env.d.ts"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules"
|
||||
"node_modules",
|
||||
"gym",
|
||||
"zen-*",
|
||||
"engine",
|
||||
"docs",
|
||||
"papers",
|
||||
"training",
|
||||
"scripts",
|
||||
"agent-*",
|
||||
"claude-*",
|
||||
"hanzo-*"
|
||||
]
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user