CCORE GLB-3D-Coder 4B final model and full weights are out
The CCORE GLB-3D-Coder 4B final model and its full weights have been released. This model is a fine-tune of Qwen3.5-4B, designed to generate reusable 3D assets. Users can describe desired assets, and the model will produce a complete Three.js HTML scene with an "Export GLB" button. The generated HTML can be opened in a browser to inspect results and export GLB files for use in tools like Godot, Blender, or Unity.
Unlike other code generation models, this release specifically targets 3D asset creation by generating Three.js HTML scenes with an exportable GLB button, moving beyond simple code snippets.
时间与来源
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发布当时偏移：UTC+02026年11月5日 06:14 UTC
收录当时偏移：UTC+02026年11月5日 07:00 UTC
- 发布
- 2026年11月5日 06:14
- 收录
- 2026年11月5日 07:00
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
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Following up on my previous post : the final version of CCORE GLB-3D-Coder is now available, including the full Safetensors weights.
It’s a full fine-tune of Qwen3.5-4B for generating reusable 3D assets. Describe what you want, and it writes a complete Three.js HTML scene with an Export GLB button. You can open the HTML in your browser, inspect the result, and export it into Godot, Blender, Unity, or other tools that support GLB.
The video shows examples from the final model, including selected side-by-side comparisons with DeepSeek V4.1 Flash. I’m particularly happy with the character designs and the amount of detail it can produce at just 4B parameters.
It covers more than fantasy characters: buildings, environments, weapons, vehicles, laboratory equipment, sports props, furniture, and other objects. It can also generate animations and include them in the exported GLB.
Some generations still need a retry or a small code correction, but I’m very happy with the improvement over the earlier release.
If you’re interested in the next models, or would like to help support future datasets and training runs, there’s more information on the Hugging Face page. Testing it and sharing your results or failure cases also helps a lot.
I made RIFTWARD, a small browser arena using characters, terrain and props generated locally by CCORE GLB-3D-Coder 4B. An orchestration and validation harness helped assemble, refine and integrate the assets and build the gameplay. Play it here: https://huggingface.co/spaces/ccore/RIFTWARD
Feel free to share what you make with it! I’d be really happy to hear that the model has been useful to you :)