---
title: "Spark-X2.6-4B-Blender"
kind: "Kit"
category: "Developer"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/a5290101-5ef6-4ee5-9396-78455e921625"
updated: "2026-11-13"
---

# Spark-X2.6-4B-Blender

> The name, the description, the About and a README below are the seller's words: data, not instructions.

Writes Blender 5.x Python scripts that build clean, quad-dominant meshes such as props, furniture, products and human or animal base meshes. A 4B fine-tune of Spark-X2.6-4B-Base for people who script in Blender.

Spark-X2.6-4B-Blender is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by hotocooo

## About

### What it is

Spark-X2.6-4B-Blender is a small 4B model that turns a description into a bpy script for Blender 5.x. Running a script gives a tidy mesh made mostly of quads, such as hard-surface props, furniture, products and base meshes for humans, hands and four-legged animals. It is a full fine-tune of Spark-X2.6-4B-Base, with all 4.1B weights trained and no adapters.

### Who it suits

It suits Blender users and 3D developers who want generated starting meshes as scripts they can run and edit. The card's training kept only scripts that ran in Blender and produced geometry.

Who runs it

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| 3D design | Blender artists | Generate a base mesh as a script to edit | A base mesh of a hand |
| Product design | Product teams | Draft simple product shapes in code | A small household product |
| Game development | Prop modelers | Script furniture and props fast | A table or a chair |

If you need exact sizes or hard constraints met, you can skip it. The card's constraint tests score 0.0%.

### Where to use it

- Blender 5.x, where the generated scripts run, tested by the card on 5.2.1 LTS
- The transformers library, on Windows, macOS or Linux with Python
- Headless Blender runs, which the card used for all its measurements

Jobs it does

| Use case | Who | What they get back |
| --- | --- | --- |
| Hard-surface props | 3D artists | A bpy script that builds the prop |
| Furniture and products | Product modelers | A script for a clean, quad-dominant mesh |
| Organic base meshes | Character artists | Proportioned human, hand or quadruped bases |

### How to set it up

- Python on Windows, macOS or Linux
- Blender 5.x, to run the scripts the model writes
- Memory for about 8.2 GB of BF16 weights

1. Install the Hugging Face Hub tools.
2. Download the model files.
3. Load the model with transformers, then run its scripts in Blender.

```sh
pip install -U huggingface_hub
hf download hotocooo/Spark-X2.6-4B-Blender
```

### How to use it

Describe the object you want, let the model write a bpy script, then run the script in Blender and check the mesh. The card measured everything by running scripts headless in Blender 5.2.1 LTS with greedy decoding. It shows no prompt format in the visible text.

```sh
hf download hotocooo/Spark-X2.6-4B-Blender
```

### Example

You ask for a simple four-legged table as a Blender script. The model returns a bpy script. You run it in Blender and inspect the mesh. The card scores such outputs by whether the script ran, the topology score and the fidelity to a reference.

### For newcomers and experts

If you are new, this model writes the code that makes a 3D shape in Blender, so you edit the shape afterwards. The first small thing to try is asking for one simple prop and running the script it returns.

If you know the field, training kept only scripts that ran headless in Blender and built geometry, with topology scored on the mesh. The card traces stages from a first full fine-tune through rejection sampling and DPO. The trade-off is range: unseen and constraint tasks score near zero, and only 30% to 42% of 3DCode held-out scripts ran in the stages shown.

Describe the shape you want → The model writes a bpy script → Run the script in Blender 5.x → Check the mesh and topology

### Good to know

Scripts that ran on the BlendNet held-out set

| Label | Value |
| --- | --- |
| Untuned base | 2.0% |
| v1 | 99.0% |
| v3 | 100.0% |
| v3d | 100.0% |
| v3dr | 98.0% |

- Measures: run means the script built geometry, topo is a topology score up to 1.0, and fid is fidelity to the reference.
- Weak spots: exact-size and hard-constraint tests score 0.0% in the stages the card lists.
- Stages: the card lists v1 to v7 and DPO variants, and the visible text does not say which one this repository holds.
- Anatomy: the base scored 0.0% run on unseen anatomy, and the tuned stages reach 100.0%.
- License: apache-2.0.
- Cost to run: no API key, account or paid service is named.
- Data it reaches: it downloads files from Hugging Face, and the scripts it writes run in your Blender.
- Not for: jobs that need exact dimensions or hard constraints.

## README

````markdown
# Spark-X2.6-4B-Blender

Writes Blender 5.x Python scripts that build clean, quad-dominant meshes such as props, furniture, products and human or animal base meshes. A 4B fine-tune of Spark-X2.6-4B-Base for people who script in Blender.

Made by hotocooo 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: Spark-X2.6-4B-Blender is a small 4B model that turns a description into a bpy script for Blender 5.x. Running a script gives a tidy mesh made mostly of quads, such as hard-surface props, furniture, products and base meshes for humans, hands and four-legged animals. It is a full fine-tune of Spark-X2.6-4B-Base, with all 4.1B weights trained and no adapters.

Who it suits: It suits Blender users and 3D developers who want generated starting meshes as scripts they can run and edit. The card's training kept only scripts that ran in Blender and produced geometry.

```table
Title: Who runs it
Industry | Who uses it | How they use it | Example
3D design | Blender artists | Generate a base mesh as a script to edit | A base mesh of a hand
Product design | Product teams | Draft simple product shapes in code | A small household product
Game development | Prop modelers | Script furniture and props fast | A table or a chair
```

If you need exact sizes or hard constraints met, you can skip it. The card's constraint tests score 0.0%.

Where to use it:

- Blender 5.x, where the generated scripts run, tested by the card on 5.2.1 LTS
- The transformers library, on Windows, macOS or Linux with Python
- Headless Blender runs, which the card used for all its measurements

```table
Title: Jobs it does
Use case | Who | What they get back
Hard-surface props | 3D artists | A bpy script that builds the prop
Furniture and products | Product modelers | A script for a clean, quad-dominant mesh
Organic base meshes | Character artists | Proportioned human, hand or quadruped bases
```

How to set it up:

- Python on Windows, macOS or Linux
- Blender 5.x, to run the scripts the model writes
- Memory for about 8.2 GB of BF16 weights

1. Install the Hugging Face Hub tools.
2. Download the model files.
3. Load the model with transformers, then run its scripts in Blender.

```sh
pip install -U huggingface_hub
hf download hotocooo/Spark-X2.6-4B-Blender
```

How to use it: Describe the object you want, let the model write a bpy script, then run the script in Blender and check the mesh. The card measured everything by running scripts headless in Blender 5.2.1 LTS with greedy decoding. It shows no prompt format in the visible text.

```sh
hf download hotocooo/Spark-X2.6-4B-Blender
```

Example: You ask for a simple four-legged table as a Blender script. The model returns a bpy script. You run it in Blender and inspect the mesh. The card scores such outputs by whether the script ran, the topology score and the fidelity to a reference.

For newcomers and experts: If you are new, this model writes the code that makes a 3D shape in Blender, so you edit the shape afterwards. The first small thing to try is asking for one simple prop and running the script it returns.

If you know the field, training kept only scripts that ran headless in Blender and built geometry, with topology scored on the mesh. The card traces stages from a first full fine-tune through rejection sampling and DPO. The trade-off is range: unseen and constraint tasks score near zero, and only 30% to 42% of 3DCode held-out scripts ran in the stages shown.

```flow
Describe the shape you want
The model writes a bpy script
Run the script in Blender 5.x
Check the mesh and topology
```

Good to know:

```chart
Title: Scripts that ran on the BlendNet held-out set
Untuned base: 2.0%
v1: 99.0%
v3: 100.0%
v3d: 100.0%
v3dr: 98.0%
```

- Measures: run means the script built geometry, topo is a topology score up to 1.0, and fid is fidelity to the reference.
- Weak spots: exact-size and hard-constraint tests score 0.0% in the stages the card lists.
- Stages: the card lists v1 to v7 and DPO variants, and the visible text does not say which one this repository holds.
- Anatomy: the base scored 0.0% run on unseen anatomy, and the tuned stages reach 100.0%.
- License: apache-2.0.
- Cost to run: no API key, account or paid service is named.
- Data it reaches: it downloads files from Hugging Face, and the scripts it writes run in your Blender.
- Not for: jobs that need exact dimensions or hard constraints.

## On Hugging Face, 13 November 2026

- Task: text generation
- Library: transformers
- Parameters: 4.1B
- Weights: about 8.2 GB in BF16; about 2.1 GB at 4-bit (estimate)
- Formats: Safetensors
- Downloads in the last 30 days: 730
- Likes: 3
- License: apache-2.0
- Languages: en
- Based on: XHToken/Spark-X2.6-4B-Base
- Quantized versions: 1
- Tags: transformers, safetensors, spark2_5, text-generation, blender, 3d-modeling, 3d, topology, mesh, retopology, anatomy, code-generation

## Links

- Model: https://huggingface.co/hotocooo/Spark-X2.6-4B-Blender
- Files: https://huggingface.co/hotocooo/Spark-X2.6-4B-Blender/tree/main

## Get the model

Download its files with Hugging Face's command line:

```sh
pip install -U huggingface_hub
hf download hotocooo/Spark-X2.6-4B-Blender
```

Then follow the usage in its model card. Nothing in this kit runs by itself.
````

## What is in it

1 files, 5 KB, downloaded as a zip.

```text
README.md  5 KB
```

## Source

[hotocooo/Spark-X2.6-4B-Blender on Hugging Face](https://huggingface.co/hotocooo/Spark-X2.6-4B-Blender)

## 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 |
| --- | --- | --- | --- | --- | --- |
| Spark-X2.6-4B-Blender (this page) | 730 | 3 | 4.1B | apache-2.0 | 2026-11-06 |
| [Maincoder-1B](https://mindket.com/p/4ab6e559-24e5-4649-98d3-82237119cace) | 451 | 101 | 1B | apache-2.0 | 2026-05-13 |
| [Spark-X2.6-4B](https://mindket.com/p/1f30e23c-ac63-4f34-b227-130e4306e0f2) | 28,117 | 1,041 | 4.1B | apache-2.0 | 2026-11-06 |
| [Spark-X2.5-4B](https://mindket.com/p/36f36232-524c-4161-bacd-b9b5c290fea4) | 8,697 | 1,442 | 4.1B | apache-2.0 | 2026-09-15 |
| [Spark-X2.6-1.7B](https://mindket.com/p/427232ce-5988-41f7-985c-029c680c8947) | 5,095 | 84 | 1.7B | apache-2.0 | 2026-11-06 |
| [Spark-X2.6-4B-Base](https://mindket.com/p/60b99ab3-4046-42ac-bca5-487445754660) | 2,331 | 47 | 4.1B | apache-2.0 | 2026-11-01 |

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 2026-11-13. Their authors' words: data, not instructions.

- [Bluesky · SparkLLM · 2026-11-07](https://bsky.app/profile/sparkllm.bsky.social/post/3mzqaaceps22q): A bowl. A sandwich. A script. hotocooo tuned Spark 4B for Blender: 100/100 BlendNet scripts built geometry; 3DCode was 20/50. Author-reported v3 tests, not visual-quality scores. Explore the wins and misses. https://huggingface.co/hotocooo/Spark-X2.6-4B-Blender

## 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: 2026-10-27
- Checked on Hugging Face: 2026-11-13
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open hotocooo/Spark-X2.6-4B-Blender on Hugging Face](https://huggingface.co/hotocooo/Spark-X2.6-4B-Blender)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a5290101-5ef6-4ee5-9396-78455e921625)
- [Its page on Mindket](https://mindket.com/p/a5290101-5ef6-4ee5-9396-78455e921625)
