JobBERT (TechWolf)
A model from a Belgian HR company: it turns job titles into vectors so you can find similar vacancies and resumes. A human makes the decision about a candidate; automatic screening without review must not be used.
- Developer
- TechWolf, Belgium
- First release
- Dec 2024
- Latest release
- Jun 2025
- Sizes
- 109M – 278M
- License
- Commercial use allowedMIT
- Russian
- Not supported
- Ready-made builds
- GGUF
- Running
- On your own serverAlso runs without a GPU
- Industries
- HR
What it does
- Matching job titles coming from different sources
- Finding similar vacancies and resumes by meaning
- Cleaning up the company job title reference list
Where it is used
Hardware requirements
Versions
- JobBERT-v3, многоязычная
- JobBERT-v2
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 JobBERT (TechWolf) be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does JobBERT (TechWolf) 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 JobBERT (TechWolf) support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download JobBERT (TechWolf) and what does it cost?
The JobBERT (TechWolf) 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
Finds mentions of skills in a vacancy or resume text and maps them to the company skill reference list. A human makes the decision about a candidate; automatic screening without review must not be used.
DetailsText analysisESCOXLM-R и JobBERT (ITU Copenhagen)Mike Zhang, Rob van der Goot, Barbara Plank (IT University of Copenhagen and LMU Munich) · DenmarkCommercial use with conditionsA research line of models for labour market texts: trained on job postings and the European ESCO occupation taxonomy, they pull skills and requirements out of vacancies. A human makes the decision about a candidate; automatic screening without review must not be used.
DetailsSearch and RAGBGE-M3BAAI · ChinaCommercial use allowedA model for meaning-based search in about a hundred languages. The core of RAG: the bot finds the right part of a document before answering.
DetailsSource: huggingface.co/TechWolf/JobBERT-v3. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


