Tabular dataCode

TableLLM

A model for office work with tables: for a given question it returns either a direct answer or code to process the data in a table or document.

Developer
RUCKBReasoning, Renmin University of China, China
First release
Feb 2024
Latest release
Sep 2024
Sizes
7B и 13B
License
Commercial use with conditionsLlama 2 license (the models are built on CodeLlama)
Russian
Not supported
Ready-made builds
GGUF
Running
On your own serverNeeds a GPU
Industries
Documents and accounting, Finance, Manufacturing and logistics
Deploy on your server Hugging Face GitHub

What it does

  • Processing tables from Excel and documents from a text instruction
  • Generating code for recalculations and selections
  • Answering questions about data in reports

Where it is used

Accounting and document workflowAnalytics and reportingWarehousing and manufacturing

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 карточек и кода
  2. TableLLM-7B и TableLLM-13B

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. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can TableLLM be used in a commercial project?

With conditions. License: Llama 2 license (the models are built on CodeLlama). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does TableLLM 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 TableLLM support Russian?

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

Where can I download TableLLM and what does it cost?

The TableLLM 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/RUCKBReasoning/TableLLM-13b. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.