Ranking · 2026

The best uncensored LLMs in 2026

There's no single best uncensored model — there's the best one for your task, hardware and tolerance for ops work. Here are the options worth knowing, what each is good at, and how to choose.

Last reviewed 2026-10-31

The open-model landscape moves fast — new base models and uncensored variants appear every few weeks. We describe model families and approaches rather than chasing every release. Always check the model card for the current version, licence and known issues.

Quick comparison

Hosted UM modelsAbliterated open modelsDolphin / Hermes fine-tunes
Low refusal rate✓✓✓
Quality vs. base modelRetained (SFT + DPO)Small regressions possibleDepends on base & data
Context window32K–128KBase model'sBase model's
Web search, memory, tools✓✕~
Runs offline / fully private✕✓✓
Hardware neededNoneYour GPU / MacYour GPU / Mac
Cost1M tok free, then per tokenFree weights + hardwareFree weights + hardware

1. UM models (UncensoredModel.ai) — best hosted option

Disclosure: these are ours. The UM family ranges from UM-7B (fast, cheap, high-volume) to UM-70B (flagship depth for creative and long-form work), plus reasoning variants that show their chain-of-thought. They're trained with SFT and DPO specifically to answer sensitive-but-legitimate questions while keeping hard limits on clearly illegal content.

  • Best for: developers who want an OpenAI-compatible uncensored API, and anyone who wants to chat without installing anything.
  • Strengths: up to 128K context, built-in web search, memory and tool calling, no hardware.
  • Trade-offs: not offline; adult content requires 18+ verification.

See the full lineup on the models page.

2. Abliterated open models — best for quick local use

Within days of a popular open model's release (Llama, Qwen, Mistral, Gemma and others), the community usually publishes an abliterated version: the internal refusal direction is identified and removed from the weights. You get the base model's knowledge and style, minus most refusals.

  • Best for: trying the newest open models uncensored, privacy-sensitive local use.
  • Strengths: available for almost every major release, in many sizes and quantisations.
  • Trade-offs: quality varies by who made it; some show small regressions or odd behaviour. Look for versions that were “healed” with a short fine-tune afterwards.

3. Dolphin fine-tunes — the classic uncensored family

Dolphin is one of the best-known uncensored model lines. Its approach is to fine-tune open base models on instruction data with refusals and moralising filtered out, so the model is compliant by design. Dolphin models are typically meant to be paired with your own system prompt and safety layer.

  • Best for: general-purpose uncensored assistants and coding help, run locally.
  • Trade-offs: quality tracks the underlying base model; check which base and size a given release uses.

4. Nous Hermes — steerable, system-prompt-driven

The Hermes series from Nous Research focuses on strong instruction-following and steerability. Rather than baking in a fixed persona or heavy refusals, Hermes models largely do what the system prompt tells them, which makes them popular for agents, tool use and roleplay.

  • Best for: builders who want control via the system prompt, function calling, structured output.
  • Trade-offs: “low refusal” rather than strictly uncensored by default — behaviour depends on how you prompt it.

5. Community roleplay & creative fine-tunes

There's a large ecosystem of community fine-tunes and merges aimed at fiction, character chat and roleplay, often built on larger open models. The best ones produce vivid, consistent long-form writing; the worst are unstable merges. Community leaderboards and model cards with sample outputs are the best way to judge them.

How we picked — and how you should choose

Benchmarks for “uncensoredness” are noisy and easy to game, so we look at five practical criteria instead of a single score:

  1. Refusal rate on legitimate requests. Test the model with 20–50 questions from your domain — medical, security, fiction — and count refusals, hedges and watered-down answers.
  2. Quality retention. Uncensoring shouldn't cost reasoning. Compare a few hard, non-sensitive tasks (math, code, summarisation) against the base model.
  3. Context length. Long documents, RAG and long roleplay sessions need 32K+ context; 128K is comfortable.
  4. Licence. Open-weight licences differ — some restrict commercial use or require attribution. Read it before you ship.
  5. Hardware and ops. A quantised 7–9B model runs on a laptop; a 70B model needs serious GPU memory. If you don't want to manage that, a hosted model is cheaper in practice. See hosted vs self-hosted.

Our recommendation

  • Building an app or agent? Use a hosted uncensored API so you get uptime, tools and scaling. Start with UM-14B or UM-32B.
  • Creative writing or roleplay? Go big — 70B-class models are clearly better at long-form fiction.
  • Maximum privacy, offline? Pick a recent abliterated or Dolphin/Hermes-style model that fits your GPU.
  • Just curious? Open the uncensored AI chat and ask the questions other assistants refused.

New to the topic? Start with what an uncensored LLM actually is.

FAQ

Frequently asked questions

What is the best uncensored LLM?
For most people who want quality without running hardware, a hosted uncensored model in the 30–70B range is the best trade-off. If you need full privacy and have the GPU, a well-made abliterated or Dolphin/Hermes-style fine-tune of a recent open model is the best local option.
What's the best uncensored model for roleplay and creative writing?
Larger models (around 70B) are noticeably better at long-form fiction, consistent characters and nuance. On UncensoredModel.ai that's UM-70B (18+ verification required). Locally, community roleplay fine-tunes of large open models are popular.
What's the best small uncensored LLM to run on a laptop?
Abliterated or uncensored fine-tunes of 7–9B open models run well on a modern laptop with quantisation (e.g. GGUF via llama.cpp or Ollama). Expect weaker reasoning than larger models.
Do abliterated models lose quality?
Sometimes slightly. Abliteration removes the refusal direction without retraining, which can introduce small regressions. Many releases add a short “healing” fine-tune afterwards to recover quality.
Are these models free?
Open-weight models are free to download, but check each licence — some restrict commercial use. Hosted services charge per token; UncensoredModel.ai includes 1M free tokens per month.
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