The 9 Best Uncensored AI Models in 2026

Venice AI is a hosted chat, image and video service whose default text model is an uncensored open-weight fine-tune, not a moderated frontier model. That default, 'Venice Uncensored', is Dolphin Mistral 24B Venice Edition; the docs list 100+ text models behind an OpenAI-compatible API. Privacy is the pitch: four documented modes (Anonymous, Private with zero retention by contract, TEE enclaves, E2EE), and prompt content is not stored for normal inference, though IP, timestamps and token counts are.

Unlike FreedomGPT, which spreads you across 400+ mostly moderated models, Venice is one permissive default with privacy on top. Pricing as of October 2026: Free gives 10 text and 15 image prompts per day on base models; Pro is $18/mo (about $15/mo annually) for unlimited text and 1,000 image prompts a day; Pro Plus $68/mo and Max $200/mo add API spend. The iOS app charges $23.99/mo for Pro and is rated 17+.

Venice calls itself 'permissive within legal limits, not zero-restriction', and its reputation is split: 4.2 from 1,515 App Store ratings against 1.8 from 62 Trustpilot reviews. In Anonymous mode the third-party provider can see prompts. More in our Venice AI review.

Ollama is the command-line runtime most people use for open-weight models on their own machine: one install, then 'ollama run dolphin3' pulls the model and starts a chat. The library holds the uncensored classics (dolphin3 at 4.9 GB with 128K context and 4.2M listed pulls, llama2-uncensored, dolphin-mixtral, hermes3), and community namespaces such as huihui_ai add abliterated builds of current models, including Qwen3.8-abliterated 27b. The runtime is MIT-licensed with 183,748 GitHub stars; v0.40.6 shipped on 16 October 2026.

Compared with LM Studio, Ollama is terminal-first and exposes a localhost API that Open WebUI and SillyTavern plug into; compared with KoboldCpp, it has no story interface. Local use is free and 'always unlimited' per the pricing page. The 2026 paid plans, Pro at $20/mo and Max at $100/mo, cover hosted cloud models only, and those requests leave your machine.

The caveat: abliterated models sit in unvetted community namespaces with far smaller pull counts than official entries, and Ollama publishes no hardware minimums, so you size memory by the file you pull. See our Ollama review.

Huihui Qwen3.8 27B Abliterated is the most capable uncensored model that fits a single 24 GB consumer GPU as of October 2026. It is Alibaba's Qwen3.8-27B (August 2026, Apache-2.0) with refusals suppressed by editing layers 22 through 52; vision is untouched, so image input still works. The card's llama.cpp example runs it at 262,144 tokens of context, the base model's native window. Hugging Face shows 2,362,309 downloads in 30 days and 1,384 likes; the same build is on Ollama under huihui_ai.

Unlike Dolphin or Hermes, which are retrained to avoid refusals, abliteration is surgery on an existing model: current, but blunt. The author calls the method 'a crude, proof-of-concept implementation', warns outputs may still carry a disclaimer, and reasoning can drop versus the base. File sizes decide hardware: UD-IQ4_XS is 14.4 GB for 16 GB cards; Q4_K (16.81 GB) and Q5_K (19.54 GB) suit 24 GB cards; Q8_0 is 29.05 GB, before context cache.

IQ2 and IQ3 files of 8 to 12 GB exist but discard much of a 27B model's quality; below 16 GB of VRAM, Hermes 4 14B is the better buy. A Mac with 32 GB of unified memory handles the Q4 files.

LM Studio is a desktop app that searches Hugging Face, downloads GGUF or MLX models, runs them and serves them over an OpenAI-compatible local API, all without a terminal. It runs on macOS 14+ (Apple Silicon only), Windows x64 and ARM with AVX2, and Linux as an AppImage. It has been free for home and work since 8 July 2025, when the commercial licensing form was removed; an Enterprise tier is quote-based.

Against Ollama the difference is the interface, not the models: both run the same GGUF files, so an abliterated Qwen3.8 behaves identically in either. LM Studio adds MLX acceleration on Apple Silicon and a headless 'llmster' build for servers. Recommended hardware is 16 GB of RAM with 4 GB of VRAM on Windows, or an Apple Silicon Mac with 16 GB or more.

Gaps for this niche: no character cards, world info or story memory, and no curation, so uncensored behaviour depends entirely on the model you load. Intel Macs are unsupported. As of October 2026 the homepage pushes a new 'LM Studio Bionic' Windows build and shows no pricing. Details in our LM Studio review.

Dolphin Mistral 24B Venice Edition is the fine-tune behind Venice's default model, published on Hugging Face under Apache-2.0. The Dolphin project (dphn, formerly Cognitive Computations) fine-tuned Mistral Small 24B Instruct 2501 with Venice.ai to remove refusals and hand alignment to the operator: the system prompt sets tone and rules, and without one the model 'will act in a default way'. Recommended temperature is 0.15.

That steerability separates it from the Huihui abliteration: you write the persona and the limits, which is why it suits roleplay and character work. It is also the only model here you can try free before downloading, as Venice's free-tier default. Bartowski GGUF sizes: IQ3_M 10.65 GB, Q4_K_M 14.33 GB, Q6_K 19.35 GB, Q8_0 25.05 GB; full precision in vLLM needs over 60 GB of GPU memory.

Two trade-offs. The Mistral Small 24B base is an older generation than Qwen3.8, so raw capability lags the Huihui build, and 14.33 GB at Q4_K_M leaves little room for context on a 16 GB card. For smaller hardware, the family's dolphin3 (Llama 3.1 8B, 4.9 GB) is on Ollama.

KoboldCpp is a single portable executable that bundles a llama.cpp-based engine with the KoboldAI Lite interface, built for fiction: persistent memory, world info, author's notes, saved stories and Tavern character card import are all included. Download koboldcpp.exe, koboldcpp-linux-x64 or koboldcpp-mac-arm64, point it at a GGUF file, and the UI opens at localhost:5001. It is AGPL-3.0 with 12,025 GitHub stars; release 1.123.1 on 13 October 2026 added Qwen Image 2.1 support and a batched --parallelrequests mode.

Neither Ollama nor LM Studio ships story tooling, which is why long-form writers pick KoboldCpp over both. It also goes wider: OpenAI, KoboldAI, Ollama and Anthropic-compatible endpoints at once, SD 1.5, SDXL, SD3 and Flux image models, plus Whisper speech-to-text and TTS. Backends are CUDA for NVIDIA and Vulkan for AMD, NVIDIA and Intel; CPU-only works.

The cost is tinkering: the wiki admits the --gpulayers -1 auto-estimate is often wrong, so GPU/CPU splits take trial and error, and ROCm needs a source build. It curates no models. For hosted writing tools see our NSFW AI writers ranking; for setup, our KoboldCpp review.

Hermes 4 is Nous Research's 'neutrally aligned' model family, released in August 2025 in 14B, 70B and 405B sizes, and the 14B is the best uncensored reasoning model for a 12 GB GPU. The bartowski GGUF of Hermes-4-14B is 9.0 GB at Q4_K_M, 6.88 GB at IQ3_M and 15.7 GB at Q8_0. The 14B sits on Qwen3-14B under Apache-2.0; the 70B and 405B use Llama 3.1 bases and the Llama 3 license.

Unlike every other model here, Hermes 4 is a hybrid reasoner: it can emit explicit thinking before answering when enabled by flag or system prompt, and supports function calling, JSON-schema output and ChatML. Nous grew the post-training corpus from about 1.2B tokens for Hermes 3 to roughly 60B, and reports state-of-the-art on its own RefusalBench, a self-reported benchmark. The older Hermes 3 remains on Ollama with 1.7M pulls.

'Neutrally aligned' means it follows your system prompt, not that it answers anything by default, so expect ordinary assistant behaviour until you set a persona. The base predates Qwen3.8, and the larger sizes need far more memory.

FreedomGPT is a web and mobile aggregator that puts 400+ hosted models under one subscription, from ChatGPT, Claude, Gemini and Grok to DeepSeek, Qwen, Llama and Mistral, with an Auto mode that picks the model per question. It flags an open-source option called 'Liberty' as censor-free and adds image generation, text-to-video and story tools. You can chat without an account or card; signing up adds 100 bonus credits.

Where Venice is one permissive default with privacy on top, FreedomGPT is breadth: most of its models are mainstream and moderated, and only the flagged open-source options skip the usual filters. Pro is $20/mo for 2,200 monthly credits covering premium models, Photo Studio, video and saved history; other free-tier limits are unpublished. Its 11 October 2026 guide on running AI locally says plainly that 'uncensored' is not a technical certification.

Privacy is the weak point. The site warns users not to assume anonymity or zero retention, since requests pass through FreedomGPT and the underlying providers, and no retention periods are published. Review volume (22 App Store ratings, 3 Trustpilot reviews) is too thin for a score.

Uncensored.chat is a hosted chat and roleplay service that sells payment anonymity: plans are bought with BTC, ETH or USDC, with no KYC, no card and no auto-renewal, each covering 30 days. It advertises 1,000+ community characters, image-to-video and voice cloning, and claims chats auto-delete after 24 hours. The operator is not named anywhere on the site, nor are the underlying models, so the privacy and 'no filters' claims cannot be checked.

No other hosted service here takes crypto only. Pricing as of October 2026: a one-time Free Trial of 2,000 chat tokens; Basic $9 per 30 days for 1M tokens, web only, with 30 voice minutes; Standard $69 for 10M tokens, API access and 150 voice minutes; Premium $99 for 100M tokens; and a limited-time Lifetime plan at $99 one-time for 10M tokens a month. Its own blog quotes '$9.99 a month for unlimited use', which contradicts the pricing page.

All plans are non-refundable and crypto cannot be reversed, so start with the free trial. Trustpilot has 3 reviews. Users must be 18+. For hosted platforms with named operators, see our NSFW AI chat ranking.