Mellum
JetBrains models for fast code autocompletion. Mellum2 (12B, 2.5B active) is already a full assistant: it writes and edits code, calls tools and reasons.
- Developer
- JetBrains, Czech Republic
- First release
- Apr 2025
- Latest release
- Jun 2026
- Sizes
- 4B – 12B-A2.5B
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Ready-made builds
- GGUF, MLX (Apple)
- Running
- On your own serverAlso runs without a GPU
- Industries
- Software development
What it does
- Fast code autocompletion on your own server
- A developer assistant that does not send code to the cloud
- Fine-tuning on the company's code
Where it is used
Hardware requirements
Versions
- Mellum2 12B-A2.5B Instruct и Thinking
- Mellum-4b DPO
- Mellum-4b SFT для Python и Kotlin
- Mellum-4b-base
How to run it
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 Mellum 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 Mellum 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 Mellum support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download Mellum and what does it cost?
The Mellum 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
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
The broadest open coding family: from 0.5B for autocompletion to 480B for agents. Qwen3-Coder-Next (80B, 3B active) works as a developer agent on a single GPU.
DetailsCodeStarCoderBigCode (Hugging Face and ServiceNow) · USA / FranceCommercial use with conditionsOne of the first open coding models, trained on an open set of source code with an option to exclude your own repository. Today it is more a base for fine-tuning than a leader.
DetailsCodeSeed-CoderByteDance Seed · ChinaCommercial use allowedA compact 8B coding model from ByteDance in base, instruct and reasoning versions. Its training data was selected by the model itself, with almost no hand-written rules.
DetailsSource: blog.jetbrains.com/ai/2026/06/mellum2-goes-open-source-a-fast-model-fo. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


