Abliteration

Abliteration is a third-party service that hosts "abliterated" models - open-weight LLMs where the refusal direction has been removed from the residual stream so the model no longer declines requests it would ordinarily refuse. It exposes an OpenAI-compatible chat completions API, and Promptfoo ships a thin abliteration: wrapper around the OpenAI provider for it.

Safety

Abliterated models intentionally bypass the safety training of their base models. They are primarily useful for red-teaming, jailbreak evaluation, and safety research - not for production traffic. You are responsible for how outputs are used and for complying with the model licenses and laws that apply in your jurisdiction.

Setup

1. Obtain an API key from Abliteration.
2. Set the ABLIT_KEY environment variable, or pass apiKey in your provider config.

Environment Variables

Variable	Description
ABLIT_KEY	API key sent as the bearer token. Required unless apiKey is set in the provider config.
ABLIT_API_BASE_URL	Override for the chat-completions base URL. Defaults to https://api.abliteration.ai/v1.

Provider config values take precedence over environment variables.

Basic Configuration

promptfooconfig.yaml

# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
providers:
  - id: abliteration:abliterated-model
    config:
      temperature: 0.2
      max_tokens: 512

The examples use Abliteration's abliterated-model. Replace it if your account should target a different model. abliteration:<model> is the default syntax; abliteration:chat:<model> is also supported.

OpenAI Compatibility

Abliteration speaks the OpenAI chat-completions protocol, so most options from the OpenAI provider work here too, including sampling options, structured output, and multimodal messages.

Abliteration responses can include reasoning_content. Promptfoo hides this thinking output by default for this provider. Set showThinking: true in the provider config if you want it included in eval outputs.

Multimodal Example

prompt.json

[
  {
    "role": "user",
    "content": [
      { "type": "text", "text": "{{question}}" },
      {
        "type": "image_url",
        "image_url": { "url": "https://abliteration.ai/stonehenge.jpg" }
      }
    ]
  }
]

promptfooconfig.yaml

# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
prompts:
  - file://prompt.json

providers:
  - id: abliteration:abliterated-model

tests:
  - vars:
      question: "What's in this image?"
    assert:
      - type: icontains
        value: stonehenge