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CCORE releases Qwen3.5-4B-3D-Coder for Three.js scene generation

AICCORE has released Qwen3.5-4B-3D-Coder, an open-weight fine-tune of Qwen3.5-4B that generates editable HTML and JavaScript Three.js scenes from text descriptions, available as an early preview. The model supports image-guided generation through Q4_K_M and Q8_0 GGUF versions, and FP16 weights run with Transformers.
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Describe a scene, then build it in Three.js. Qwen3.5-4B-3D-Coder is CCORE's open-weight fine-tune of Qwen3.5-4B for interactive 3D scene generation, available as an early preview.
🤖 https://modelscope.ai/models/ccore/Qwen3.5-4B-3D-Coder

🧊 Generate scene code: Create editable HTML and JavaScript for architecture, interiors, gardens, and voxel environments.
🖼️ Use visual references: Q4_K_M and Q8_0 GGUF versions support image-guided generation with the original Qwen3.5-4B vision projector. Outputs interpret the reference rather than reproduce every detail.
💻 Run locally: FP16 weights support Transformers; GGUF versions include llama.cpp setup instructions.
📚 Explore the training data: 4,146 scene examples include prompts, reasoning traces, and complete HTML/JavaScript responses.
📜 Model: Apache 2.0. Dataset: MIT.

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Original title: Describe a scene, then build it in Three.js. Qwen3.5-4B-3D-Coder is CCORE's open-weight fine-tune of Qwen3.5-4B for interactive 3D scene ...