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Ramon Perez
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@ -13,112 +13,81 @@ import { Aside, Card, CardGrid } from '@astrojs/starlight/components';
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We know it's hard but we believe this will be possible in the next decade through a combination of
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models, applications and tools. For this we are...
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> **building a solution that ties all of these seamlessly so that users, regardless of their technical
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background, are able to use Jan in the same way they use other applications but while owning them.**
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> **building Jan as the ecosystem that ties all of these seamlessly so that users, regardless of their technical
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background, add intelligence to their day-to-day lives like they would, but better, with similar tools.**
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## What We're Building
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**Jan Ecosystem** = Jan Models + Jan Application + Jan Tools
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Unlike other AI assistants that do specific tasks with one model or have many models with a myriad of solutions, Jan provides:
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- Its own specialised models that are optimised at specific tasks like web-search, creative writing, and translation
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- Applications that work across all of your devices in an integrated way
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- Tools to help you get things done
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## Core Principles
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## Two Modes
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### 1) Build the Full Stack
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### Local Mode
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Run AI models entirely on your device, giving you complete privacy with no internet required.
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Models alone aren't enough. Neither are applications. Superintelligence requires models that
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understand your needs, tools that extend capabilities, and applications that tie it all
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together. We're building all three, openly.
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### 2) You Choose Who Runs It
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Run Jan on your laptop. Self-host it on your servers. Use our cloud. The same superintelligence
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works everywhere. Your data, your compute, your choice.
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### Cloud Mode
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Connect to more powerful models when needed - either self-hosted or via jan.ai.
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### 3) Start Simple, Scale Infinitely
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Open Jan and start chatting. No setup required. When you need more - better models, advanced tools,
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team deployment - everything's there. The complexity scales with your ambition, not our architecture.
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## The Path to Superintelligence
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<Aside type="note">
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Users shouldn't need to understand models, APIs, or technical details. Just choose Local for privacy or Cloud for power.
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</Aside>
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### Today we have the Foundation
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## Our Product Principles
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- **A desktop app** that works both with local and cloud-based models
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- **Jan models** small enough to run on any laptop and powerful enough to scale on any server
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- **Basic tools** enabled through MCP Search, file parsing, simple workflows
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### 1) It Just Works
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1. Open Jan, start chatting
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2. Onboarding is fully available but optional
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3. Setting up an API key is optional
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4. Selecting a local model is optional
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5. Become a power user at your own pace, if you want to
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### Next 12 Months: Ecosystem
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- **The Jan v1 models** are a specialized series of models with general capabilities but optimsed
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for specific tasks like search, analysis, creative writing and more
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- **The Jan server** works as a self-hosted AI infrastructure for teams
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- **Advanced tools** like browser use, deep research, and long-term memory works across devices, excels
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across different day-to-day use cases, and scales with the needs of large teams
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- **Cross-device sync** allows you to take your AI everywhere
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We handle the complexity.
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### End State: Open Superintelligence
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Not one massive model, but an ecosystem of specialized models, tools, and applications working
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together. Built in public. Owned by whoever runs it.
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### 2) Cloud When Needed
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Start completely locally and own your AI models. Add cloud capabilities only when you choose to.
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## Why This Matters: The Status Quo
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### 3) Solve Problems, Not Settings
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We help users get to answers quickly and leave the configurations as optional. Power users can dig deeper, but it's never required.
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Every other AI company wants to be your AI provider. We want you to own your AI.
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## Available on Every Device
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- **OpenAI/Anthropic**: Their models, their servers, their rules
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- **Open Source Models**: Powerful but fragmented - no cohesive experience
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- **Jan**: Complete ecosystem you can own, modify, and deploy however you want
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<CardGrid>
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<Card title="Jan Desktop" icon="laptop">
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**Available Now**
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## Watch Us Build
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Your personal AI workstation that helps with your use cases and powers other devices. Run models locally right away or bring an API key to connect to your favorite cloud-based models.
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### Live Model Training
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We train our models in public. Check the [models page](./models/jan-v1) to see:
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- Real-time training progress
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- Failed runs and what went wrong
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- Models in testing before release
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**[Learn more →](./platforms/desktop)**
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</Card>
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<Card title="Jan Web" icon="up-arrow">
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**Beta Launch Soon**
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No black box. No "trust us, it's good." Watch the entire process from dataset to deployment.
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Web-based version of Jan with no setup required. The same default cloud mode for mobile and desktop users.
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### Help Evaluate Our Models
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Every model needs real-world testing. Join our open evaluation platform where you can:
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- Compare model outputs side-by-side
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- Test specific capabilities you care about
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- Vote on which responses actually help
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- Suggest improvements based on your use cases
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**[Learn more →](./platforms/jan-ai)**
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</Card>
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<Card title="Jan Mobile" icon="phone">
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**Coming Q4 2025**
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Think LMArena, but you can see all the data, run your own evals, and directly influence what we train next.
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Connect to your Desktop/Server, or run local models like Jan Nano. The same experience, everywhere.
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[Test/evaluate our models here](link)
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**[Learn more →](./platforms/mobile)**
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</Card>
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<Card title="Jan Server" icon="bars">
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**Coming Q3 2025**
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## Get Involved
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Self-hosted solution or connect to Jan via API for teams and enterprises.
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We build in public. Everything from our model training to our product roadmap is open.
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**[Learn more →](./platforms/server)**
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</Card>
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</CardGrid>
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## What Makes Jan Different
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| Feature | Other AI Assistants | Jan |
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| :--- | :--- | :--- |
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| **Models** | Wrapper around Claude/GPT | Our own models + You can own them |
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| **Dual mode** | Your data on their servers | Your data stays yours |
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| **Deployment** | Cloud only | Local, self-hosted, or cloud |
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| **Cost** | Subscription forever | Free locally, pay for cloud |
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## Development Timeline
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Jan is actively developed with regular releases. Our development follows these key milestones:
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### Current Focus
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- **Jan Desktop**: Continuous improvements and model support
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- **Jan Web**: Beta launch preparation
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- **Model Development**: Jan Nano optimization and v1 launch
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### Next 6 Months
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- Jan Web public beta
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- Mobile app development
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- Server deployment tools
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### Future Vision
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- Complete full-stack AI solution
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- Advanced tool integration
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- Enterprise features
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<Aside type="tip">
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We're building AI that respects your choices. Run it locally and power other apps, connect to the cloud for power, or self-host for both.
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</Aside>
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- [GitHub](link) - Contribute code
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- [Handbook](link) - See how we train models
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- [Discord](link) - Join the discussion
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@ -1,29 +1,51 @@
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---
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title: Jan V1
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description: Our upcoming family of foundational models, built to compete with the best.
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title: Jan Models
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description: Specialized AI models trained in public for real tasks.
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sidebar:
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order: 1
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banner:
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content: 'In Development: Jan V1 models are currently being trained and are not yet available.'
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content: 'Watch live training progress below. First models releasing Q1 2025.'
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---
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import { Aside } from '@astrojs/starlight/components';
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## Our Foundational Model Family
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## Not Just Another Model Family
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Jan V1 is our in-house, still in training, family of models designed to compete directly with leading models. We're building powerful, general-purpose models from the ground up to solve real-world problems with a focus on efficiency and privacy.
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Jan Models aren't general-purpose chatbots. Each model is trained for specific tasks that matter in daily work: search, analysis, creative writing, coding, research. They work together, each handling what it does best.
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### Planned Model Lineup
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### Current Training Status
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| Model | Target Size | Intended Use Case | Availability |
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|:------------|:------------|:-----------------------------|:--------------|
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| Jan V1-7B | 4-8GB | Fast, efficient daily tasks | Coming Soon |
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| Jan V1-13B | 8-16GB | Balanced power and performance | Coming Soon |
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| Jan V1-70B | 40-64GB | Deep analysis, professional work | Coming Soon |
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| Jan V1-2350B | 100GB+ | Frontier research, complex tasks | Planned 2026 |
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| Model | Specialization | Size | Training Progress | Status |
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|:------|:--------------|:-----|:------------------|:-------|
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| Jan-Search | Web search + synthesis | 7B | ████████░░ 82% | Testing phase |
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| Jan-Write | Creative + technical writing | 13B | ████░░░░░░ 41% | Active training |
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| Jan-Analyze | Data analysis + reasoning | 13B | ██░░░░░░░░ 23% | Dataset prep |
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| Jan-Code | Code generation + debugging | 7B | ░░░░░░░░░░ 0% | Starting Jan 2025 |
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### What to Expect
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- **Competitive Performance**: Aiming for results on par with leading closed-source models.
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- **Optimized for Local Use**: Efficient quantized versions for running on your own hardware.
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- **Privacy-Centric**: Trainable and runnable in your own environment, ensuring your data stays yours.
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- **Seamless Integration**: Designed to work perfectly within the Jan ecosystem.
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- **Fine-tuning support**: Easy to adapt to specific tasks or domains.
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<Aside type="note">
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Training runs live at [train.jan.ai](). See datasets, metrics, and even failed runs.
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</Aside>
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### Why Specialized Models?
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One model can't excel at everything. GPT-4o, o3, o4, or Claude 4 Sonnet writing poetry
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use the same weights to do math as well, which can be inefficient and expensive.
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Our approach:
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- **Jan-Search** knows how to query, crawl, and synthesize
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- **Jan-Write** understands tone, structure, and creativity
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- **Jan-Analyze** excels at reasoning and data interpretation
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- Models work together through the Jan orchestration layer
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### Built for the Ecosystem
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These aren't standalone models. They're designed to:
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- Run efficiently on local hardware (quantized to 4-8GB)
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- Work with Jan Tools (browser automation, file parsing, memory)
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- Scale from laptop to server without code changes
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- Share context and hand off tasks to each other
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### Help Us Improve
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Models are only as good as their real-world performance. [Test our models](link) against your actual use cases and vote on what works.
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We train on your feedback, not just benchmarks.
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@ -1,113 +1,111 @@
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---
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title: Jan Desktop
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description: AI that runs on your computer, not someone else's. Your personal AI workstation.
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description: The foundation of your AI ecosystem. Runs on your hardware.
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sidebar:
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order: 2
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---
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import { Aside, Card, CardGrid, Tabs, TabItem } from '@astrojs/starlight/components';
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This is how Jan started and it has been available since day 1.
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Jan Desktop is your local AI workstation. Download it, run your own models, or connect to cloud providers. Your computer, your choice.
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Jan Desktop strives to be:
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## How It Works
|
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|
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> Your personal AI workstation that helps with your use cases and powers other devices. Run models locally right away or bring an API key to connect to your favorite cloud-based models.
|
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### Default: Local Mode
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Open Jan. Start chatting with Jan Nano. No internet, no account, no API keys. Your conversations never leave your machine.
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Jan Desktop is where it all starts. Download it, open it, and start chatting. Your AI runs on your computer with zero setup required.
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### Optional: Cloud Mode
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Need more power? Connect to:
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- Your own Jan Server
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- jan.ai (coming soon)
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- Any OpenAI-compatible API
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## Two Modes, Zero Complexity
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|
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### Local Mode (Default)
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Your conversations stay on your computer. No internet needed. Complete privacy.
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### Cloud Mode
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Connect to more powerful models when you need them. Your choice of provider.
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<Aside type="note">
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As of today, when you first open Jan you do have to download a model or connect to a cloud provider, but that is about to change soon.
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<Aside type="caution">
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**Current limitation**: You need to download a model first (2-4GB). We're embedding Jan Nano in the app to fix this.
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</Aside>
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## What You Get
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## Why Desktop First
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Your desktop has the GPU, storage, and memory to run real AI models. Not toy versions. Not demos. The same models that power ChatGPT-scale applications.
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More importantly: it becomes the hub for your other devices. Your phone connects to your desktop. Your team connects to your desktop. Everything stays in your control.
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## Specifications
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<CardGrid>
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<Card title="Works Offline" icon="wifi">
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Download once, use forever. Internet is optional.
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<Card title="Storage" icon="folder">
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Everything in `~/jan`. Your data, your models, your configuration. Back it up, move it, delete it - it's just files.
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</Card>
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<Card title="Your Data Stays Yours" icon="shield">
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Everything is stored in `~/.local/share/jan`. No cloud backups unless you want them.
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<Card title="API Server" icon="code">
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OpenAI-compatible API at `localhost:1337`. Any tool that works with OpenAI works with Jan. No code changes.
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</Card>
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<Card title="Powers Other Devices" icon="devices">
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Your desktop becomes an AI server for your phone and other computers.
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<Card title="GPU Support" icon="rocket">
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NVIDIA CUDA acceleration out of the box. Automatically detects and uses available GPUs. CPU fallback always works.
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</Card>
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<Card title="Developer Friendly" icon="code">
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Local API at `localhost:1337`. Works with any OpenAI-compatible tool.
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</Card>
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<Card title="GPU Acceleration" icon="rocket">
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Automatically detects and uses NVIDIA GPUs for faster performance.
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</Card>
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<Card title="Cross-Platform" icon="laptop">
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Windows, macOS, and Linux support with native performance.
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<Card title="Model Flexibility" icon="puzzle">
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Run any GGUF model from Hugging Face. Or our models. Or your fine-tuned models. If it's GGUF, it runs.
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</Card>
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</CardGrid>
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## System Requirements
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### Minimum Requirements
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- **RAM:** 8GB (models use less than 80% of available memory)
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- **Storage:** 10GB+ free space
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- **OS:** Windows 10, macOS 12, Ubuntu 20.04 or newer
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**Minimum**: 8GB RAM, 10GB storage, any 64-bit OS from the last 5 years
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|
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### Recommended
|
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- **RAM:** 16GB+ for larger models
|
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- **Storage:** 20GB+ for multiple models
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- **GPU:** NVIDIA GPU with 6GB+ VRAM for acceleration
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- **OS:** Latest versions for best performance
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**Recommended**: 16GB RAM, NVIDIA GPU, 50GB storage for multiple models
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## Getting Started
|
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**Runs on**: Windows 10+, macOS 12+, Ubuntu 20.04+
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||||
|
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1. **Download Jan** from [jan.ai/download](https://jan.ai/download)
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2. **Open the app** - it loads with everything ready
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3. **Start chatting** - that's it
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## Installation
|
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|
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## Local Mode Features
|
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```bash
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# macOS/Linux
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curl -sSL https://jan.ai/install.sh | bash
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|
||||
- **Select your favorite Model:** Jan allows you to download any GGUF model from the Hugging Face Hub.
|
||||
- **Smart Defaults:** Automatically uses your GPU if available and adjusts to your system's capabilities.
|
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- **Complete Privacy:** No telemetry by default, no account required, and no data leaves your machine.
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# Windows
|
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# Download from jan.ai/download
|
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```
|
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|
||||
## Cloud Mode (Optional)
|
||||
|
||||
Connect to external AI providers when you need more power:
|
||||
|
||||
<Tabs>
|
||||
<TabItem label="jan.ai">
|
||||
Our cloud service (coming soon). One click to enable.
|
||||
</TabItem>
|
||||
<TabItem label="OpenAI">
|
||||
Use your OpenAI API key for GPT-4 access.
|
||||
</TabItem>
|
||||
<TabItem label="Self-Hosted">
|
||||
Connect to your own Jan Server.
|
||||
</TabItem>
|
||||
</Tabs>
|
||||
|
||||
## Desktop as Your AI Hub
|
||||
|
||||
Your desktop can power AI across all your devices by automatically becoming a local server.
|
||||
|
||||
- **Network Sharing:** Mobile apps connect over WiFi, and other computers can access your models.
|
||||
- **API:** Available at `localhost:1337` for any OpenAI-compatible application.
|
||||
- **Offline Access:** No internet required for local network connections.
|
||||
<Aside type="tip">
|
||||
First run downloads Jan Nano (4GB). After that, everything works offline.
|
||||
</Aside>
|
||||
|
||||
## For Developers
|
||||
|
||||
### Local API Server
|
||||
```bash
|
||||
# Always running at localhost:1337
|
||||
curl http://localhost:1337/v1/chat/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"model": "gemma3:3b", "messages": [{"role": "user", "content": "Hello"}]}'
|
||||
### Use Jan as an OpenAI Drop-in
|
||||
|
||||
```javascript
|
||||
// Your existing OpenAI code
|
||||
const openai = new OpenAI({
|
||||
apiKey: "not-needed",
|
||||
baseURL: "http://localhost:1337/v1"
|
||||
});
|
||||
|
||||
// Works exactly the same
|
||||
const completion = await openai.chat.completions.create({
|
||||
model: "jan-nano",
|
||||
messages: [{ role: "user", content: "Hello" }]
|
||||
});
|
||||
```
|
||||
|
||||
## The Bottom Line
|
||||
### Available Endpoints
|
||||
- `/v1/chat/completions` - Chat with any loaded model
|
||||
- `/v1/models` - List available models
|
||||
- `/v1/embeddings` - Generate embeddings
|
||||
- `/routes` - See all available routes
|
||||
|
||||
Jan Desktop is AI that respects that your computer is YOUR computer, not a terminal to someone else's server. Just software that works for you.
|
||||
## The Foundation
|
||||
|
||||
Jan Desktop isn't just an app. It's the foundation of your personal AI infrastructure:
|
||||
|
||||
1. **Today**: Run models locally, connect to cloud APIs
|
||||
2. **Soon**: Your phone connects to your desktop
|
||||
3. **Next**: Your desktop serves your team
|
||||
4. **Future**: Your personal AI that knows you, runs everywhere
|
||||
|
||||
No subscriptions. No lock-in. Just software that's yours.
|
||||
|
||||
---
|
||||
|
||||
**Next steps**:
|
||||
- [Download Jan Desktop](https://jan.ai/download)
|
||||
- [Try Jan Models →](../models/jan-v1)
|
||||
- [Explore Tools →](../tools/search)
|
||||
|
||||
@ -27,8 +27,8 @@ import { Content } from '../../content/products/index.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/models/jan-nano.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -5,7 +5,7 @@ import { Content } from '../../../content/products/models/jan-v1.mdx';
|
||||
|
||||
<StarlightPage
|
||||
frontmatter={{
|
||||
title: 'Jan v1',
|
||||
title: 'Models Overview',
|
||||
description: 'Full-featured AI model for desktop and server deployment',
|
||||
tableOfContents: false
|
||||
}}
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/models/jan-v1.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/platforms/desktop.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/platforms/jan-ai.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/platforms/mobile.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/platforms/server.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/tools/browseruse.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/tools/deepresearch.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -26,8 +26,8 @@ import { Content } from '../../../content/products/tools/search.mdx';
|
||||
{
|
||||
label: 'Models',
|
||||
items: [
|
||||
{ label: 'Overview', link: '/products/models/jan-v1/' },
|
||||
{ label: 'Jan Nano', link: '/products/models/jan-nano/' },
|
||||
{ label: 'Jan v1', link: '/products/models/jan-v1/' },
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user