Drawings and CAD3DText

SpatialLM

From a point cloud of a room or a walkthrough video it builds a structured plan: walls, doors, windows and objects with coordinates and sizes. It is a draft survey; final areas are confirmed by a specialist.

Developer
Manycore Research, China
First release
Mar 2025
Latest release
Sep 2025
Sizes
0.5B - 1B
License
Commercial use with conditionsmixed: Qwen-based versions under CC BY-NC 4.0, Llama 3.2-based versions under the Llama 3.2 Community License
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Manufacturing and logistics, Documents and accounting, Software development, Science and research
Deploy on your server Hugging Face GitHub

What it does

  • Building a floor plan from a 3D scan of a space
  • Extracting walls, doors and windows with dimensions
  • Draft measurements before a renovation or a move
  • Preparing data for BIM and design calculations

Where it is used

Design and constructionReal estate and space surveyingRenovation and interior designRobotics and indoor navigation

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Обновление весов 1.1
  2. SpatialLM 1.1
  3. SpatialLM-Llama-1B и SpatialLM-Qwen-0.5B

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can SpatialLM be used in a commercial project?

With conditions. License: mixed: Qwen-based versions under CC BY-NC 4.0, Llama 3.2-based versions under the Llama 3.2 Community License. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does SpatialLM need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does SpatialLM support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download SpatialLM and what does it cost?

The SpatialLM weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/manycore-research/SpatialLM1.1-Qwen-0.5B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.