Our own metal
One RTX 5090, served with vLLM. Your prompt is not brokered through somebody else’s inference API, and there is no third party between you and the weights.
An unfiltered assistant running on our own hardware. No account, no API key, no logs kept — take a number, watch the queue, get a straight answer.
Ask most assistants a blunt security question and you get a lecture. Not because the answer is dangerous — because refusing is cheaper than judging.
We run a checkpoint with that reflex removed, on a box we own, and we do the judging ourselves — outside the model, in code you can read, before a prompt ever reaches a GPU. Uncensored where it should be. Deliberate where it matters.
A crew running our own weights on our own metal, and letting you use them. Four things make that different from a chat box with a login screen.
One RTX 5090, served with vLLM. Your prompt is not brokered through somebody else’s inference API, and there is no third party between you and the weights.
No signup, no email, no API key. Open the console and type. Your session is a random identifier in memory, and nothing about you is collected to create it.
Conversations live in RAM, are never written to disk, and expire after six idle hours. There is no transcript archive, because there is no archive.
One GPU means waiting sometimes. You can see exactly how many are ahead of you and how long they have waited — under rotating anonymous handles, never prompts.
| Checkpoint | Ornith-1.5-9B-OBLITERATED |
|---|---|
| Base | Qwen3.5, hybrid linear/full attention |
| Precision | bfloat16 |
| Context | 16,384 tokens |
| Server | vLLM, continuous batching |
| Hardware | 1× NVIDIA RTX 5090, 32 GB |
| Reasoning | Off — answers, not monologue |
Uncensored is not unconditional. The model has no tools, no filesystem and no wallet — and a short list of requests is refused before it is ever queued.
These checks run outside the model, on the way in, so a blocked prompt never reaches the GPU and never occupies a slot. The model itself is not asked to police them — it was trained not to, and we do not pretend otherwise.