TextComputer-use agentsCode

Spark-X

A compact 4B model to run right on a device, focused on agents: tool calling, multi-step planning, programming, long context. Version 2.6 came about a month after 2.5 with the same architecture and improved only through further training. The reasoning budget is adjustable: none, low, high. The authors state that it holds its own against models of around 9B. Languages on the card: English and Chinese, Russian is not stated. Running it needs the model's own code in transformers. The figures come from the authors.

Developer
XHToken (the Spark project), not stated
First release
Sep 2026
Latest release
Oct 2026
Sizes
4B
License
Commercial use allowedApache 2.0
Russian
Not supported
Running
On your own serverNeeds a GPU
Industries
Software development, Customer support
Deploy on your server Hugging Face

What it does

  • an agent with tool calling on a home computer or laptop
  • a local programmer assistant that does not need a big server
  • AI built into an app with a choice of how much the model thinks

Where it is used

software developmentembedded and offline solutionssmall companies without a cloud

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. Spark-X2.6-4B
  2. Spark-X2.5-4B

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 Spark-X be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Spark-X need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Spark-X support Russian?

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

Where can I download Spark-X and what does it cost?

The Spark-X 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.

Similar models

TextQwenAlibaba · ChinaCommercial use with conditions

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DetailsTextGemmaGoogle · USACommercial use allowed

Compact Google models that run well on a single computer; larger versions understand images. Includes CodeGemma for code, FunctionGemma 270M for function calling and the fast DiffusionGemma.

DetailsTextPhiMicrosoft · USACommercial use allowed

Small Microsoft models trained on carefully selected data: strong at logic and math for their modest size. Versions with images and speech are available.

Details

Source: huggingface.co/XHToken/Spark-X2.6-4B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.