Model reference · open weights

ATTACK-BERT

ATTACK-BERT is an open-weight embedding model from basel, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Licence fee required Embeddings basel 1 variants 25k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What ATTACK-BERT is

ATT&CK BERT: a Cybersecurity Language Model ATT&CK BERT is a cybersecurity domain-specific language model based on sentence-transformers. ATT&CK BERT maps sentences representing attack actions to a semantically meaningful embedding vector. Embedding vectors of sentences with similar meanings have a high cosine similarity. Usage (Sentence-Transformers) Using this model becomes easy when you have sentence-transformers installed: Then you can use the model like this: To use ATT&CK BERT to map text to ATT&CK techniques Check our tool SMET: https://github.com/basel-a/SMET License: apache-2.0

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makerbasel
TypeEmbedding models
Context514 tokens
Variants1
Runs withtransformers
Released2023-04-14
Popularity25k downloads / month
Likes19
LicenceCommercial licence needed

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together — the basis of search and RAG.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
ATTACK-BERTBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys attack-bert for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (attack-bert below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"attack-bert","input":"text to embed"}'

Details

Languages, data & research

Tags

transformers pytorch mpnet feature-extraction cybersecurity sentence-embedding sentence-similarity text-embeddings-inference endpoints_compatible deploy:azure

Licence

Commercial licence needed

The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗

Sources

Weights & code

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