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BLOOM

One of the first large open models, trained by a community of hundreds of researchers in 46 languages. Today it is interesting mostly as a historical milestone.

The last open version came out in Nov 2022. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
BigScience (Hugging Face and the community), France
First release
Jul 2022
Latest release
Nov 2022
Sizes
560M – 176B
License
Commercial use with conditionsBigScience RAIL 1.0: commercial use allowed, but certain uses are prohibited
Russian
Not supported
Ready-made builds
GGUF
Running
On your own serverAlso runs without a GPU
Industries
Science and research, Education
Deploy on your server Hugging Face

What it does

  • Text generation and translation in many languages
  • Experiments and team training
  • Base model for fine-tuning on a narrow task

Where it is used

Research groupsEducation

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
fits

Versions

  1. BLOOMZ (дообучена на инструкциях)
  2. BLOOM

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 BLOOM be used in a commercial project?

With conditions. License: BigScience RAIL 1.0: commercial use allowed, but certain uses are prohibited. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does BLOOM 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 BLOOM support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download BLOOM and what does it cost?

The BLOOM 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/bigscience/bloomz. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.