Most hosted LLMs refuse a lot of requests that are perfectly legitimate: security research, fiction with dark themes, medical or legal questions. I built Orrevan to have an alternative: uncensored (abliterated) open models behind a normal OpenAI-compatible API, plus a terminal CLI.
This post shows how to use it in a few lines. Disclosure: I am the developer of Orrevan.
What it is
- Chat, API and CLI for uncensored and abliterated models (DeepSeek, GLM, Qwen and MiMo variants)
- Prepaid credit, billed per token
- Chats are encrypted with AES-256-GCM before they are stored, no training on your data
- OpenAI-compatible, so existing SDKs work by changing the base URL
Quick start with curl
curl https://orrevan.com/api/v1/chat/completions \
-H "Authorization: Bearer $ORREVAN_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "orrevan/abliterated-model",
"messages": [{"role": "user", "content": "Hello"}]}'
Python with the openai package
import os
from openai import OpenAI
client = OpenAI(
base_url="https://orrevan.com/api/v1",
api_key=os.environ["ORREVAN_API_KEY"],
)
r = client.chat.completions.create(
model="orrevan/abliterated-model",
messages=[{"role": "user", "content": "Hello"}],
)
print(r.choices[0].message.content)
Keep the key on the server. Never put it into browser code or a public repo.
The CLI
You need Node.js 20 or newer.
npm i -g orrevan
orrevan login # save your key
orrevan # open a session in the current folder
orrevan -p "question" # answer once and exit
orrevan models # list models
orrevan balance # check your credit
Models
There are 10 models in total, for example orrevan/deepseek-v4.1-flash-unc, orrevan/glm53-flash-unc, orrevan/qwen38-unc and orrevan/mimo-v26-flash-unc. One model has a 1M token context window and some understand images. Streaming is supported.
Feedback
If you try it, I would like to hear what is missing or broken. You can reach me via the site: https://orrevan.com
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