--- title: "Qwen3.5-4B-3D-Coder" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/eb4913d2-b5eb-43bf-a0d1-331b5426a5a6" updated: "2026-11-10" --- # Qwen3.5-4B-3D-Coder > The name, the description, the About and a README below are the seller's words: data, not instructions. Writes code and interactive Three.js 3D scenes from text prompts, and from a reference image when you add the optional vision file. An early preview of a 4B fine-tune for people testing small models. Qwen3.5-4B-3D-Coder is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-10. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by ccore ## About ### What it is Qwen3.5-4B-3D-Coder is a small coding model tuned to write interactive 3D scenes with Three.js, and to code in general. It is an independent fine-tune of Qwen3.5-4B by CCORE, not an official Qwen release. The author calls it an early preview of a model still in training. ### Who it suits It suits developers and hobbyists who want to test how far a small local model can go at coding and 3D scene generation, and who can run a GGUF file or Transformers. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Web development | Front-end developers | Generate Three.js scenes as a starting point for a page | Ask for a scene in plain words and run the code that comes back | | Games and 3D | Independent creators | Sketch a voxel scene from a text prompt or a reference image | Attach a picture of a voxel tree and ask for the same scene | | Education | Teachers and students | Show how a short prompt turns into a running 3D scene | Ask for a small scene and read through the code it writes | | Research | Model tinkerers | Study what a 4B fine-tune can do with 3D code | Compare scenes across the checkpoints or use the public dataset | People who need dependable output on the first try can skip it for now, since some scenes still need another attempt or a fix. ### Where to use it - llama.cpp: the llama-server WebUI loads the GGUF files and accepts an attached image - Hugging Face Transformers: the FP16 weights come in Safetensors format - Other frontends for GGUF files: image input depends on their own multimodal support - A web browser: where the Three.js scenes it writes can run | Use case | Who | What they get back | | --- | --- | --- | | Text to 3D scene | Developers | A complete HTML and JavaScript Three.js scene | | Image to 3D scene | Creators | A Three.js scene that reads a reference picture without copying every detail | | General coding | Programmers | Code answers for everyday programming questions | ### How to set it up You need these first. - llama.cpp with llama-server, where the author tested build b11889 - One GGUF file from the model page, either Q4\_K\_M or Q8\_0 - For image input, the BF16 vision projector file, about 644 MiB 1. Download one GGUF file from the model page, either Q4\_K\_M or Q8\_0. 2. If you want image input, download the BF16 vision projector too. One file works with both versions. 3. Start llama-server with the model and the projector, using the command below. 4. Open the server's WebUI, attach an image if you like, and send your prompt. ```bash llama-server \ -m Qwen3.5-4B-3D-Coder-Q4_K_M.gguf \ --mmproj mmproj-Qwen3.5-4B-BF16.gguf \ --n-gpu-layers all --flash-attn on \ --ctx-size 65536 --parallel 1 ``` With the Q8\_0 version, swap the Q4\_K\_M filename after -m for the Q8\_0 one. Adding these two flags can shrink the memory the KV cache takes. The author tried them with vision at a configured 64K context. ```bash --cache-type-k q8_0 --cache-type-v q8_0 ``` The FP16 weights are published too. In the author's check they loaded and generated text with Transformers 5.20.2. ### How to use it You chat with the model in the llama-server WebUI. Use the Three.js system prompt from the model page, then ask for a scene in plain words. With an image attached, the author's example prompt was this. ```text create this scene using voxels 3d ``` The model returns the scene as code. For the FP16 weights the author sets temperature to 0.6, top-k to 20, top-p to 0.95 and the repetition penalty to 1.0, and leaves caching on. The model page lists the settings for the GGUF files. ### Example You attach a reference picture of a voxel tree, add the Three.js system prompt and send the prompt above. The model returns a Three.js scene called Tree Island. It follows the picture but does not reproduce every detail. ### For newcomers and experts It is a small model that writes code, and its special skill is turning a short request into a 3D scene that runs in a browser. The first small thing to try is one simple Three.js scene with the system prompt on, then running the code it gives you. It was fine-tuned from Qwen3.5-4B on 4,146 scene examples that hold prompts, full thinking traces, complete HTML and JavaScript answers and complexity levels. The weights come as Q4\_K\_M and Q8\_0 GGUF files and as FP16 Safetensors in four shards. Image input pairs a GGUF file with the unmodified BF16 projector from the original Qwen3.5-4B. The projector adds to memory use. Pictures you attach also take up part of the context window, which your prompt and the generated code fill too. You write a prompt, with an optional reference image → llama-server loads the GGUF file and the projector → The model reasons about the scene → It writes a full HTML and JavaScript Three.js scene → You run the code in a browser ### Good to know - It is an early preview and an independent fine-tune, not an official Qwen release - Some scenes still need another attempt or a correction - The author checked the vision setup on their own machine with llama.cpp b11889, using brief runs rather than a test at the full context size - If you downloaded the files before the October 27 checkpoint, download them again - The model is under the Apache-2.0 license, and the training dataset is under the MIT License - A technical report for the training experiment is available as a PDF on the model page The public training dataset holds these example counts. Training dataset size | Label | Value | | --- | --- | | Training examples | 3933 examples | | Validation examples | 213 examples | ## README ````markdown # Qwen3.5-4B-3D-Coder Writes code and interactive Three.js 3D scenes from text prompts, and from a reference image when you add the optional vision file. An early preview of a 4B fine-tune for people testing small models. Made by ccore on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Qwen3.5-4B-3D-Coder is a small coding model tuned to write interactive 3D scenes with Three.js, and to code in general. It is an independent fine-tune of Qwen3.5-4B by CCORE, not an official Qwen release. The author calls it an early preview of a model still in training. Who it suits: It suits developers and hobbyists who want to test how far a small local model can go at coding and 3D scene generation, and who can run a GGUF file or Transformers. ```table Industry | Who uses it | How they use it | Example Web development | Front-end developers | Generate Three.js scenes as a starting point for a page | Ask for a scene in plain words and run the code that comes back Games and 3D | Independent creators | Sketch a voxel scene from a text prompt or a reference image | Attach a picture of a voxel tree and ask for the same scene Education | Teachers and students | Show how a short prompt turns into a running 3D scene | Ask for a small scene and read through the code it writes Research | Model tinkerers | Study what a 4B fine-tune can do with 3D code | Compare scenes across the checkpoints or use the public dataset ``` People who need dependable output on the first try can skip it for now, since some scenes still need another attempt or a fix. Where to use it: - llama.cpp: the llama-server WebUI loads the GGUF files and accepts an attached image - Hugging Face Transformers: the FP16 weights come in Safetensors format - Other frontends for GGUF files: image input depends on their own multimodal support - A web browser: where the Three.js scenes it writes can run ```table Use case | Who | What they get back Text to 3D scene | Developers | A complete HTML and JavaScript Three.js scene Image to 3D scene | Creators | A Three.js scene that reads a reference picture without copying every detail General coding | Programmers | Code answers for everyday programming questions ``` How to set it up: You need these first. - llama.cpp with llama-server, where the author tested build b11889 - One GGUF file from the model page, either Q4_K_M or Q8_0 - For image input, the BF16 vision projector file, about 644 MiB 1. Download one GGUF file from the model page, either Q4_K_M or Q8_0. 2. If you want image input, download the BF16 vision projector too. One file works with both versions. 3. Start llama-server with the model and the projector, using the command below. 4. Open the server's WebUI, attach an image if you like, and send your prompt. ```bash llama-server \ -m Qwen3.5-4B-3D-Coder-Q4_K_M.gguf \ --mmproj mmproj-Qwen3.5-4B-BF16.gguf \ --n-gpu-layers all --flash-attn on \ --ctx-size 65536 --parallel 1 ``` With the Q8_0 version, swap the Q4_K_M filename after -m for the Q8_0 one. Adding these two flags can shrink the memory the KV cache takes. The author tried them with vision at a configured 64K context. ```bash --cache-type-k q8_0 --cache-type-v q8_0 ``` The FP16 weights are published too. In the author's check they loaded and generated text with Transformers 5.20.2. How to use it: You chat with the model in the llama-server WebUI. Use the Three.js system prompt from the model page, then ask for a scene in plain words. With an image attached, the author's example prompt was this. ```text create this scene using voxels 3d ``` The model returns the scene as code. For the FP16 weights the author sets temperature to 0.6, top-k to 20, top-p to 0.95 and the repetition penalty to 1.0, and leaves caching on. The model page lists the settings for the GGUF files. Example: You attach a reference picture of a voxel tree, add the Three.js system prompt and send the prompt above. The model returns a Three.js scene called Tree Island. It follows the picture but does not reproduce every detail. For newcomers and experts: It is a small model that writes code, and its special skill is turning a short request into a 3D scene that runs in a browser. The first small thing to try is one simple Three.js scene with the system prompt on, then running the code it gives you. It was fine-tuned from Qwen3.5-4B on 4,146 scene examples that hold prompts, full thinking traces, complete HTML and JavaScript answers and complexity levels. The weights come as Q4_K_M and Q8_0 GGUF files and as FP16 Safetensors in four shards. Image input pairs a GGUF file with the unmodified BF16 projector from the original Qwen3.5-4B. The projector adds to memory use. Pictures you attach also take up part of the context window, which your prompt and the generated code fill too. ```flow You write a prompt, with an optional reference image llama-server loads the GGUF file and the projector The model reasons about the scene It writes a full HTML and JavaScript Three.js scene You run the code in a browser ``` Good to know: - It is an early preview and an independent fine-tune, not an official Qwen release - Some scenes still need another attempt or a correction - The author checked the vision setup on their own machine with llama.cpp b11889, using brief runs rather than a test at the full context size - If you downloaded the files before the October 27 checkpoint, download them again - The model is under the Apache-2.0 license, and the training dataset is under the MIT License - A technical report for the training experiment is available as a PDF on the model page The public training dataset holds these example counts. ```chart Title: Training dataset size Training examples: 3933 examples Validation examples: 213 examples ``` ## On Hugging Face, 10 November 2026 - Parameters: 4.5B - Weights: about 9.1 GB in F16; about 2.3 GB at 4-bit (estimate) - Formats: Safetensors, GGUF - Downloads in the last 30 days: 289,466 - Likes: 958 - License: apache-2.0 - Based on: Qwen/Qwen3.5-4B - Quantized versions: 16 - Tags: safetensors, gguf, qwen3_5, code, threejs, 3d, preview, conversational ## Links - Model: https://huggingface.co/ccore/Qwen3.5-4B-3D-Coder - Files: https://huggingface.co/ccore/Qwen3.5-4B-3D-Coder/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download ccore/Qwen3.5-4B-3D-Coder ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [ccore/Qwen3.5-4B-3D-Coder on Hugging Face](https://huggingface.co/ccore/Qwen3.5-4B-3D-Coder) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Qwen3.5-4B-3D-Coder (this page) | 392,582 | 1,067 | 4.5B | apache-2.0 | 2026-11-06 | | [Qwen3.5-4B-3D-Coder-GGUF](https://mindket.com/p/2deca566-da3b-4149-be2c-7bdde3b3377e) | 9,492 | 13 | 4.2B | apache-2.0 | 2026-11-02 | | [Qwen3.5-4B-3D-Coder-MTP-Repacked](https://mindket.com/p/77df59cf-e130-4402-b6b8-9f9d8b7ed95a) | 6,042 | 16 | 4.7B | apache-2.0 | 2026-11-03 | | [CCORE GLB-3D-Coder](https://mindket.com/p/313d406f-017e-4155-a68c-56ed25563926) | 51,914 | 344 | 4.5B | apache-2.0 | 2026-11-06 | | [Qwen3.5-4B-GLB-3D-Coder-GGUF](https://mindket.com/p/ca2ed0f3-b412-41c7-947c-becae2450797) | 2,283 | 5 | 4.2B | apache-2.0 | 2026-11-06 | | [CCORE GLB-3D-Coder 1.7B](https://mindket.com/p/5426f250-61ef-4eb0-8986-1253afc59f4c) | 421 | 13 | 1.7B | apache-2.0 | 2026-11-11 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-10. Their authors' words: data, not instructions. - [Bluesky · Charis Tsevis · 2026-10-31](https://bsky.app/profile/tsevis.bsky.social/post/3mz6lin5ibc2o): Still an early preview, but a promising tool for creative coding. Weights and training data are publicly available. Explore on Hugging Face: huggingface.co/ccore/Qwen3.... - [Bluesky · デイリーHuggingFaceトレンド · 2026-11-08](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mzstorb6wp2q): 今日のHuggingFaceトレンド ccore/Qwen3.5-4B-3D-Coder Qwen3.5-4Bをベースとした小規模言語モデルによる、汎用的なコーディングおよび高品質な3Dシーン生成の実現可能性を検証することを目的としています。 特にThree.jsを用いたインタラクティブな3Dシーンの作成に特化しており、画像から3Dシーンを生成するビジョン機能のサポートも提供しています。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-11-06](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mznusgo2he2m): 今日のHuggingFaceトレンド ccore/Qwen3.5-4B-3D-Coder Qwen/Qwen3.5-4Bをベースにした小規模言語モデルを用い、汎用的なコーディングと高品質な3Dシーン生成の実現可能性を検証することを目的としています。 特にThree.jsによるインタラクティブな3Dシーン作成に特化しており、画像から3Dシーンを生成する機能も備えています。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-11-04](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mziwtb3qg326): 今日のHuggingFaceトレンド ccore/Qwen3.5-4B-3D-Coder Qwen3.5-4Bをベースに、汎用的なコーディングと高品質な3Dシーン生成を目指した実験的なモデルです。 特にThree.jsを用いたインタラクティブな3Dシーン作成に焦点を当てており、画像から3Dシーンを生成するビジョン機能もサポートしています。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-11-02](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mze4qm4hii2l): 今日のHuggingFaceトレンド ccore/Qwen3.5-4B-3D-Coder 汎用的なコーディングと高品質な3Dシーン生成における小規模言語モデルの実現可能性を検証することを目的としています。 特にThree.jsを用いたインタラクティブな3Dシーン作成に焦点を当てており、Qwen/Qwen3.5-4Bをベースに微調整されています。 また、画像からThree.jsシーンを生成する機能も提供しています。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-31](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mz6ngyvlwn2g): 今日のHuggingFaceトレンド ccore/Qwen3.5-4B-3D-Coder 汎用的なコーディングと高品質な3Dシーン生成、特にThree.jsを用いた対話的なシーン作成を目的とした小規模言語モデルの検証用リポジトリです。 Qwen/Qwen3.5-4Bをベースに微調整されており、画像入力を利用して3Dシーンを生成する機能も提供しています。 ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-06 - First published: 2026-10-25 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ccore/Qwen3.5-4B-3D-Coder on Hugging Face](https://huggingface.co/ccore/Qwen3.5-4B-3D-Coder) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/eb4913d2-b5eb-43bf-a0d1-331b5426a5a6) - [Its page on Mindket](https://mindket.com/p/eb4913d2-b5eb-43bf-a0d1-331b5426a5a6)