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Model: Tesslate/UIGEN-X-4B-0729 Source: Original Platform
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---
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base_model:
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- Qwen/Qwen3-4B
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tags:
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- text-generation-inference
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- transformers
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- qwen3
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- ui-generation
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- tailwind-css
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- html
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- reasoning
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- step-by-step-generation
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- hybrid-thinking
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- tool-calling
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license: apache-2.0
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language:
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- en
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---
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# UIGEN-X-4B-0729 Reasoning Only UI Generation Model
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> Tesslate's Reasoning Only UI generation model built on Qwen3-4B architecture. Trained to systematically plan, architect, and implement complete user interfaces across modern development stacks.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/kTIQn5PI6RhobsgsftTU0.png" alt="UI Screenshot 1" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/c-OthkCM8n_f_Qe-SMKoG.png" alt="UI Screenshot 2" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/4nfc_TlzxucmHU83L2v73.png" alt="UI Screenshot 3" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/dDwFsUWuYMw95xkhe_3Rq.png" alt="UI Screenshot 4" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/Yz0mJPSyKxuagFS0tEF6D.png" alt="UI Screenshot 5" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/DHh-lY2zLW92WLkEzK1SY.png" alt="UI Screenshot 6" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/PjqOUE0PU2gjIHd4qwZ0b.png" alt="UI Screenshot 7" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/WiKJQhHI7Qc8rUay7Kahb.png" alt="UI Screenshot 8" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/w5OfA_-DFetX6_va0y3wH.png" alt="UI Screenshot 9" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/dUJmx5HblvkCEFM3p52R-.png" alt="UI Screenshot 10" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/Q5FHQO08H5J7td4ZwGBG2.png" alt="UI Screenshot 11" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/0Ry1JDt12H2POjSpM0lEp.png" alt="UI Screenshot 12" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/EBPHgH1-m5UTBvecSZCI3.png" alt="UI Screenshot 13" width="400">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/VVdDkX3JFWMtBBRA56QLY.png" alt="UI Screenshot 14" width="400">
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**Live Examples**: [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)
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**Discord Community**: [https://discord.gg/EcCpcTv93U](https://discord.gg/EcCpcTv93U)
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**Website**: [https://tesslate.com](https://tesslate.com)
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---
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## Model Architecture
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UIGEN-X-4B-0729 implements **Reasoning Only** from the Qwen3 family - combining systematic planning with direct implementation. The model follows a structured thinking process:
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1. **Problem Analysis** — Understanding requirements and constraints
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2. **Architecture Planning** — Component structure and technology decisions
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3. **Design System Definition** — Color schemes, typography, and styling approach
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4. **Implementation Strategy** — Step-by-step code generation with reasoning
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This hybrid approach enables both thoughtful planning and efficient code generation, making it suitable for complex UI development tasks.
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---
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## Complete Technology Coverage
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UIGEN-X-4B-0729 supports **26 major categories** spanning **frameworks and libraries** across **7 platforms**:
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### Web Frameworks
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- **React**: Next.js, Remix, Gatsby, Create React App, Vite
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- **Vue**: Nuxt.js, Quasar, Gridsome
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- **Angular**: Angular CLI, Ionic Angular
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- **Svelte**: SvelteKit, Astro
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- **Modern**: Solid.js, Qwik, Alpine.js
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- **Static**: Astro, 11ty, Jekyll, Hugo
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### Styling Systems
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- **Utility-First**: Tailwind CSS, UnoCSS, Windi CSS
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- **CSS-in-JS**: Styled Components, Emotion, Stitches
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- **Component Systems**: Material-UI, Chakra UI, Mantine
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- **Traditional**: Bootstrap, Bulma, Foundation
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- **Design Systems**: Carbon Design, IBM Design Language
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- **Framework-Specific**: Angular Material, Vuetify, Quasar
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### UI Component Libraries
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- **React**: shadcn/ui, Material-UI, Ant Design, Chakra UI, Mantine, PrimeReact, Headless UI, NextUI, DaisyUI
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- **Vue**: Vuetify, PrimeVue, Quasar, Element Plus, Naive UI
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- **Angular**: Angular Material, PrimeNG, ng-bootstrap, Clarity Design
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- **Svelte**: Svelte Material UI, Carbon Components Svelte
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- **Headless**: Radix UI, Reach UI, Ariakit, React Aria
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### State Management
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- **React**: Redux Toolkit, Zustand, Jotai, Valtio, Context API
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- **Vue**: Pinia, Vuex, Composables
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- **Angular**: NgRx, Akita, Services
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- **Universal**: MobX, XState, Recoil
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### Animation Libraries
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- **React**: Framer Motion, React Spring, React Transition Group
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- **Vue**: Vue Transition, Vueuse Motion
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- **Universal**: GSAP, Lottie, CSS Animations, Web Animations API
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- **Mobile**: React Native Reanimated, Expo Animations
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|
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### Icon Systems
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Lucide, Heroicons, Material Icons, Font Awesome, Ant Design Icons, Bootstrap Icons, Ionicons, Tabler Icons, Feather, Phosphor, React Icons, Vue Icons
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---
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## Platform Support
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### Web Development
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Complete coverage of modern web development from simple HTML/CSS to complex enterprise applications.
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### Mobile Development
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- **React Native**: Expo, CLI, with navigation and state management
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- **Flutter**: Cross-platform mobile with Material and Cupertino designs
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- **Ionic**: Angular, React, and Vue-based hybrid applications
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### Desktop Applications
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- **Electron**: Cross-platform desktop apps (Slack, VSCode-style)
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- **Tauri**: Rust-based lightweight desktop applications
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- **Flutter Desktop**: Native desktop performance
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### Python Applications
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- **Web UI**: Streamlit, Gradio, Flask, FastAPI
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- **Desktop GUI**: Tkinter, PyQt5/6, Kivy, wxPython, Dear PyGui
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### Development Tools
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Build tools, bundlers, testing frameworks, and development environments.
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---
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## Programming Language Support
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**26 Languages and Approaches**:
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JavaScript, TypeScript, Python, Dart, HTML5, CSS3, SCSS, SASS, Less, PostCSS, CSS Modules, Styled Components, JSX, TSX, Vue SFC, Svelte Components, Angular Templates, Tailwind, PHP
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---
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## Visual Style System
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UIGEN-X-4B-0729 includes **21 distinct visual style categories** that can be applied to any framework:
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### Modern Design Styles
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- **Glassmorphism**: Frosted glass effects with blur and transparency
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- **Neumorphism**: Soft, extruded design elements
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- **Material Design**: Google's design system principles
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- **Fluent Design**: Microsoft's design language
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### Traditional & Classic
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- **Skeuomorphism**: Real-world object representations
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- **Swiss Design**: Clean typography and grid systems
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- **Bauhaus**: Functional, geometric design principles
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### Contemporary Trends
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- **Brutalism**: Bold, raw, unconventional layouts
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- **Anti-Design**: Intentionally imperfect, organic aesthetics
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- **Minimalism**: Essential elements only, generous whitespace
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### Thematic Styles
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- **Cyberpunk**: Neon colors, glitch effects, futuristic elements
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- **Dark Mode**: High contrast, reduced eye strain
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- **Retro-Futurism**: 80s/90s inspired futuristic design
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- **Geocities/90s Web**: Nostalgic early web aesthetics
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### Experimental
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- **Maximalism**: Rich, layered, abundant visual elements
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- **Madness/Experimental**: Unconventional, boundary-pushing designs
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- **Abstract Shapes**: Geometric, non-representational elements
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---
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## Prompt Structure Guide
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### Basic Structure
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To achieve the best results, use this prompting structure below:
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```
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[Action] + [UI Type] + [Framework Stack] + [Specific Features] + [Optional: Style]
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```
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### Examples
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**Simple Component**:
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```
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Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menu
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```
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**Complex Application**:
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```
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Build a complete e-commerce dashboard using Next.js + TypeScript + Tailwind CSS + shadcn/ui with:
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- Product management (CRUD operations)
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- Order tracking with status updates
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- Customer analytics with charts
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- Responsive design for mobile/desktop
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- Dark mode toggle
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Style: Use a clean, modern glassmorphism aesthetic
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```
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**Framework-Specific**:
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```
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Design an Angular Material admin panel with:
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- Sidenav with expandable menu items
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- Data tables with sorting and filtering
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- Form validation with reactive forms
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- Charts using ng2-charts
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- SCSS custom theming
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```
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### Advanced Prompt Techniques
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**Multi-Page Applications**:
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```
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Create a complete SaaS application using Vue 3 + Nuxt 3 + Tailwind CSS + Pinia:
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Pages needed:
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1. Landing page with hero, features, pricing
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2. Dashboard with metrics and quick actions
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3. Settings page with user preferences
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4. Billing page with subscription management
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Include: Navigation between pages, state management, responsive design
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Style: Professional, modern with subtle animations
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```
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**Style Mixing**:
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```
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Build a portfolio website using Svelte + SvelteKit + Tailwind CSS combining:
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- Minimalist layout principles
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- Cyberpunk color scheme (neon accents)
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- Smooth animations for page transitions
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- Typography-driven content sections
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```
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---
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## Tool Calling & Agentic Usage
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UIGEN-X-4B-0729 supports **function calling** for dynamic asset integration and enhanced development workflows.
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### Image Integration with Unsplash
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Register tools for dynamic image fetching:
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```json
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{
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"type": "function",
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"function": {
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"name": "fetch_unsplash_image",
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"description": "Fetch high-quality images from Unsplash for UI mockups",
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"parameters": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string",
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"description": "Search term for image (e.g., 'modern office', 'technology', 'nature')"
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},
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"orientation": {
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"type": "string",
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"enum": ["landscape", "portrait", "squarish"],
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"description": "Image orientation"
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},
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"size": {
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"type": "string",
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"enum": ["small", "regular", "full"],
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"description": "Image size"
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}
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},
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"required": ["query"]
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}
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}
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}
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```
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### Content Generation Tools
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```json
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{
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"type": "function",
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"function": {
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"name": "generate_content",
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"description": "Generate realistic content for UI components",
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"parameters": {
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"type": "object",
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"properties": {
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"type": {
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"type": "string",
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"enum": ["user_profiles", "product_data", "blog_posts", "testimonials"],
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"description": "Type of content to generate"
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},
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"count": {
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"type": "integer",
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"description": "Number of items to generate"
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},
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"theme": {
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"type": "string",
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"description": "Content theme or industry"
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}
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},
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"required": ["type", "count"]
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}
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}
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}
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```
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### Complete Agentic Workflow Example
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```python
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# 1. Plan the application
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response = model.chat([
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{"role": "user", "content": "Plan a complete travel booking website using React + Next.js + Tailwind CSS + shadcn/ui"}
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], tools=[fetch_unsplash_image, generate_content])
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# 2. The model will reason through the requirements and call tools:
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# - fetch_unsplash_image(query="travel destinations", orientation="landscape")
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# - generate_content(type="destinations", count=10, theme="popular travel")
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# - fetch_unsplash_image(query="hotel rooms", orientation="landscape")
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# 3. Generate complete implementation with real assets
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final_response = model.chat([
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{"role": "user", "content": "Now implement the complete website with the fetched images and content"}
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])
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```
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### Tool Integration Patterns
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**Dynamic Asset Loading**:
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- Fetch relevant images during UI generation
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- Generate realistic content for components
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- Create cohesive color palettes from images
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- Optimize assets for web performance
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**Multi-Step Development**:
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- Plan application architecture
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- Generate individual components
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- Integrate components into pages
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- Apply consistent styling and theming
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- Test responsive behavior
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**Content-Aware Design**:
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- Adapt layouts based on content types
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- Optimize typography for readability
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- Create responsive image galleries
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- Generate accessible alt text
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---
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## Inference Configuration
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### Optimal Parameters
|
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```python
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{
|
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"temperature": 0.6, # Balanced creativity and consistency (make it lower if quantized!!!!)
|
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"top_p": 0.9, # Nucleus sampling for quality
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"top_k": 40, # Vocabulary restriction
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"max_tokens": 25000, # Full component generation
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"repetition_penalty": 1.1, # Avoid repetitive patterns
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}
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```
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---
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## Use Cases & Applications
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|
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### Rapid Prototyping
|
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- Quick mockups for client presentations
|
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- A/B testing different design approaches
|
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- Concept validation with interactive prototypes
|
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|
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### Production Development
|
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- Component library creation
|
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- Design system implementation
|
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- Template and boilerplate generation
|
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|
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### Educational & Learning
|
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- Teaching modern web development
|
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- Framework comparison and evaluation
|
||||
- Best practices demonstration
|
||||
|
||||
### Enterprise Solutions
|
||||
- Dashboard and admin panel generation
|
||||
- Internal tool development
|
||||
- Legacy system modernization
|
||||
|
||||
---
|
||||
|
||||
## Technical Requirements
|
||||
|
||||
### Hardware
|
||||
- **GPU**: 8GB+ VRAM recommended (RTX 3080/4070 or equivalent)
|
||||
- **RAM**: 16GB system memory minimum
|
||||
- **Storage**: 20GB for model weights and cache
|
||||
|
||||
### Software
|
||||
- **Python**: 3.8+ with transformers, torch, unsloth
|
||||
- **Node.js**: For running generated JavaScript/TypeScript code
|
||||
- **Browser**: Modern browser for testing generated UIs
|
||||
|
||||
### Integration
|
||||
- Compatible with HuggingFace transformers
|
||||
- Supports GGML/GGUF quantization
|
||||
- Works with text-generation-webui
|
||||
- API-ready for production deployment
|
||||
|
||||
---
|
||||
|
||||
## Limitations & Considerations
|
||||
|
||||
- **Token Usage**: Reasoning process increases token consumption
|
||||
- **Complex Logic**: Focuses on UI structure rather than business logic
|
||||
- **Real-time Features**: Generated code requires backend integration
|
||||
- **Testing**: Output may need manual testing and refinement
|
||||
- **Accessibility**: While ARIA-aware, manual a11y testing recommended
|
||||
|
||||
---
|
||||
|
||||
## Community & Support
|
||||
|
||||
**Discord**: [https://discord.gg/EcCpcTv93U](https://discord.gg/EcCpcTv93U)
|
||||
**Website**: [https://tesslate.com](https://tesslate.com)
|
||||
**Examples**: [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)
|
||||
|
||||
Join our community to share creations, get help, and contribute to the ecosystem.
|
||||
|
||||
---
|
||||
|
||||
## Citation
|
||||
|
||||
```bibtex
|
||||
@misc{tesslate_uigen_x_2025,
|
||||
title={UIGEN-X-4B-0729: Reasoning Only UI Generation with Qwen3},
|
||||
author={Tesslate Team},
|
||||
year={2025},
|
||||
publisher={Tesslate},
|
||||
url={https://huggingface.co/tesslate/UIGEN-X-4B-0729}
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
|
||||
|
||||
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ZhW150gEhg0lkXoSjkiiU.png" alt="UI Screenshot 1" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/NdxVu6Zv6beigOYjbKCl1.png" alt="UI Screenshot 2" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RX8po_paCIxrrcTvZ3xfA.png" alt="UI Screenshot 3" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/DBssA7zan39uxy9HQOo5N.png" alt="UI Screenshot 4" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ttljEdBcYh1tkmyrCUQku.png" alt="UI Screenshot 5" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/duLxNQAuqv1FPVlsmQsWr.png" alt="UI Screenshot 6" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ja2nhpNrvucf_zwCARXxa.png" alt="UI Screenshot 7" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ca0f_8U9HQdaSVAejpzPn.png" alt="UI Screenshot 8" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/gzZF2CiOjyEbPAPRYSV-N.png" alt="UI Screenshot 9" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/y8wB78PffUUoVLzw3al2R.png" alt="UI Screenshot 10" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/M12dGr0xArAIF7gANSC5T.png" alt="UI Screenshot 11" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/t7r7cYlUwmI1QQf3fxO7o.png" alt="UI Screenshot 12" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/-uCIIJqTrrY9xkJHKCEqC.png" alt="UI Screenshot 13" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/eqT3IUWaPtoNQb-IWQNuy.png" alt="UI Screenshot 14" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RhbGMcxCNlMIXRLEacUGi.png" alt="UI Screenshot 15" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/FWhs43BKkXku12MwiW0v9.png" alt="UI Screenshot 16" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/ILHx-xcn18cyDLX5a63xV.png" alt="UIGEN-X UI Screenshot 1" width="400">
|
||||
<img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/A-zKo1J4HYftjiOjq_GB4.png" alt="UIGEN-X UI Screenshot 2" width="400">
|
||||
|
||||
|
||||
*Built with Reasoning Only capabilities from Qwen3, UIGEN-X-4B-0729 represents a comprehensive approach to AI-driven UI development across the entire modern web development ecosystem.*
|
||||
28
added_tokens.json
Normal file
28
added_tokens.json
Normal file
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"</think>": 151668,
|
||||
"</tool_call>": 151658,
|
||||
"</tool_response>": 151666,
|
||||
"<think>": 151667,
|
||||
"<tool_call>": 151657,
|
||||
"<tool_response>": 151665,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
87
chat_template.jinja
Normal file
87
chat_template.jinja
Normal file
@@ -0,0 +1,87 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- messages[0].content + '\n\n' }}
|
||||
{%- endif %}
|
||||
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||
{%- for message in messages[::-1] %}
|
||||
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||
{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
||||
{%- set ns.multi_step_tool = false %}
|
||||
{%- set ns.last_query_index = index %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{%- set content = message.content %}
|
||||
{%- set reasoning_content = '' %}
|
||||
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
|
||||
{%- set reasoning_content = message.reasoning_content %}
|
||||
{%- else %}
|
||||
{%- if '</think>' in message.content %}
|
||||
{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
|
||||
{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if loop.index0 > ns.last_query_index %}
|
||||
{%- if loop.last or (not loop.last and reasoning_content) %}
|
||||
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- if enable_thinking is defined and enable_thinking is false %}
|
||||
{{- '<think>\n\n</think>\n\n' }}
|
||||
{%- else %}
|
||||
{{- '<think>\n\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
67
config.json
Normal file
67
config.json
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 9728,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.53.1",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.53.1"
|
||||
}
|
||||
3
merges.txt
Normal file
3
merges.txt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
|
||||
size 1671853
|
||||
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c8788e2f7f44b0ddc3f8c01c9586476d528da10bc7abae073ebd8dc26fe87dfc
|
||||
size 4967215360
|
||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:321c379d0075834447b13c4d1634a28defddda056e9fbcc00fcb2ab4bc0a9fbb
|
||||
size 3855679144
|
||||
407
model.safetensors.index.json
Normal file
407
model.safetensors.index.json
Normal file
@@ -0,0 +1,407 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_parameters": 4022468096,
|
||||
"total_size": 8822848512
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00002-of-00002.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
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"151645": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151651": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false,
|
||||
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|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
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|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
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|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:493d74d657d3471bbfb6f43e2349125f213a22c0fdb4311c0dc0af3364bece35
|
||||
size 12945
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user