| --- |
| tags: |
| - ml-intern |
| --- |
| # 🧙♂️ Wizard-Vibe Core |
|
|
| > **Sandbox-First Architecture** — single-file SSE streaming code generator with Reflect-Select self-healing and A2A native deploy. |
|
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| ## Quick Start |
|
|
| ```bash |
| chmod +x sandbox.sh && ./sandbox.sh |
| ``` |
|
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| Or with hot-reload: |
|
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| ```bash |
| HOT_RELOAD=1 ./sandbox.sh |
| ``` |
|
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| ## Architecture |
|
|
| ``` |
| core.py ← Single-file: SSE server + orchestrator + self-heal + deploy |
| hot_reload.py ← File watcher for dev mode (auto-restart on changes) |
| static/ ← Liquid Glass UI (minimalist HTML/CSS/JS) |
| sandbox.sh ← One-command bootstrap |
| Dockerfile ← Containerized deployment |
| ``` |
|
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| ## API |
|
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| | Endpoint | Method | Description | |
| |----------|--------|-------------| |
| | `/` | GET | Liquid Glass UI | |
| | `/api/health` | GET | Health check | |
| | `/api/stream` | POST | SSE streaming code generation | |
| | `/api/publish` | POST | GitHub + A2A deploy | |
| | `/api/status?session_id=X` | GET | Session status | |
| | `/api/preview?session_id=X` | GET | Sandbox iframe content | |
| | `/.well-known/agent.json` | GET | A2A agent card | |
|
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| ## Models |
|
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| - Vision/UI → `microsoft/Phi-3-vision-128k-instruct` |
| - Logic/Backend → `deepseek-ai/DeepSeek-V3-0324` |
| - Code/Infra → `Qwen/Qwen3-Coder-30B-A3B-Instruct` |
| - Fallback → `mistralai/Mistral-7B-Instruct-v0.3` |
|
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| ## Links |
|
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| - **HF Repo**: https://huggingface.co/dryymatt/Wizard-Vibe-Core |
| - **HF Space**: https://dryymatt-wizard-vibe-core.hf.space |
| - **GitHub Mirror**: https://github.com/M523zappin/Wizard-Vibe-Core |
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| --- |
|
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| *Built with the Reflect-Select self-healing architecture. Every line validated in sandbox before publish.* |
|
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| <!-- ml-intern-provenance --> |
| ## Generated by ML Intern |
|
|
| This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub. |
|
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| - Try ML Intern: https://smolagents-ml-intern.hf.space |
| - Source code: https://github.com/huggingface/ml-intern |
|
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| ## Usage |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_id = 'dryymatt/Wizard-Vibe-Core' |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained(model_id) |
| ``` |
|
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| For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class. |
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|
