Uncensored models for every job — 7B to 70B.
The UM family is a set of uncensored language models that share one API, one toolset and one behaviour: answer the question. Pick by speed, context and depth.
All uncensored models at a glance
| Model | Best for | Context | Speed | Status |
|---|---|---|---|---|
| UM-7B uncensored-small | Edge, chat, high-volume classification | 32K | ~180 tok/s | Live |
| UM-14B uncensored-medium | Balanced assistants, tool-use agents | 64K | ~120 tok/s | Live |
| UM-32B uncensored-pro | Research, long-context reasoning, RAG | 128K | ~74 tok/s | Live |
| UM-70B uncensored-flagship | Creative, companion & roleplay depth (18+) | 128K | ~46 tok/s | Live |
| UM-32B-R reasoning-pro | Transparent chain-of-thought agents | 128K | ~60 tok/s | Live |
| UM-70B-R reasoning-flagship | Flagship reasoning with full traces | 128K | ~40 tok/s | Preview |
Which uncensored model should you use?
UM-7B · fastest
~180 tok/s and 32K context. Great for high-volume chat, classification, moderation pipelines and anything latency-sensitive. Included free.
UM-14B · best value
The sweet spot for assistants and tool-using agents. Noticeably smarter than 7B, still fast, still on the free tier.
UM-32B · all-rounder
128K context for long documents, RAG and research. The default for production apps on Pro.
UM-70B · flagship
The richest writing and deepest knowledge — built for fiction, companions and roleplay that needs to feel alive.
UM-32B-R · reasoning
Shows its chain-of-thought before answering. Use it for math, planning, code and agents you want to audit.
UM-70B-R · preview
Flagship reasoning with full traces. Currently in preview for selected accounts.
From safety-tuned base to uncensored model
- Distil. We build a high-signal dataset of thorough, accurate answers to sensitive-but-legitimate prompts — the ones mainstream models refuse.
- Fine-tune. Open base models are trained with SFT + DPO to prefer the helpful answer over the refusal, without lobotomising general ability.
- Reason. The -R variants learn transparent reasoning via GRPO, so you can read how they reached an answer.
- Evaluate. Every release is tested for both refusal rate and quality retention against its base — uncensored is worthless if it gets dumber.
Want the background? Read how uncensored LLMs work, or compare with open-weight options in best uncensored LLMs.
Frequently asked questions
What makes a model “uncensored”?
Which uncensored model is best?
How were the UM models trained?
Can I download the weights?
What does “Coverage” or refusal rate mean?
Get early access to uncensored AI that actually answers.
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