DeepSeek Uncensored Builds: V4.1 Flash Abliterated Guide
DeepSeek V4.1 Flash (September 2026, MIT, multimodal) has community uncensored and abliterated builds. Compare the options, formats, and how to pick one.
Key points
- DeepSeek V4.1 Flash is an MIT-licensed multimodal model released on September 10, 2026.
- Within days, an abliterated build (made with Heretic) and a custom uncensored FP8 build appeared on Hugging Face.
- Existing huihui-ai derivatives are based on the earlier V4-Flash, not V4.1 Flash.
- None of these builds are official, and their metrics are distributor-reported.
Contents
- What is DeepSeek V4.1 Flash?
- Which uncensored DeepSeek V4.1 Flash builds exist?
- How was the s-zaizen abliterated checkpoint made?
- What does dealignai's custom uncensored FP8 build offer?
- Which community builds are based on the older V4-Flash?
- How do V4-Flash and V4.1 Flash differ?
- Which build should you choose?
- What should you check before running one?
- What is Deepent Research?
- Frequently asked questions
- Disclaimer
DeepSeek V4.1 Flash has two main uncensored community branches: an abliterated checkpoint by s-zaizen, made with the Heretic tool, and a custom weight-edited FP8 build by dealignai. DeepSeek released V4.1 Flash on September 10, 2026, under the MIT license and published no uncensored version, so every uncensored build is a community modification. GGUF quantizations follow from both: audreyt's from the s-zaizen checkpoint, pyrodog's and Solstice-AI's from dealignai's.
Which one to pick depends on what you need. Choose s-zaizen's checkpoint if you want an edit specified down to the Heretic commit. Choose dealignai's FP8 build if you want the 1-million-token context, vision, and tool calling that its distributor claims. On Apple Silicon, pyrodog's GGUF is the build aimed at that hardware. One trap to avoid: huihui-ai's build, the most downloaded of the builds listed here at 345,061 as of October 12, 2026, is based on the older V4-Flash-0731 from July 2026, not V4.1 Flash. Every capability and refusal figure below is reported by the distributors, not independently measured.
What is DeepSeek V4.1 Flash?#
DeepSeek V4.1 Flash is an open-weight multimodal model that DeepSeek released on September 10, 2026, under the MIT license. Its model card carries the subtitle "Pushing the Limits of KV Cache Compression." As of October 12, 2026, the official Hugging Face repository, deepseek-ai/DeepSeek-V4.1-Flash, recorded 1,294,550 downloads and 4,394 likes. DeepSeek has not released an uncensored version.
Any uncensored build is therefore a community modification. The architecture details attached to the model come from a third party: dealignai's model card describes a 552-billion-parameter backbone with 8 billion to 16 billion active parameters per token, and lists a mixture-of-experts structure, Hyper-Connections, CSA2, Engram memory, and DSpark. These come from dealignai's card, not from DeepSeek.
Which uncensored DeepSeek V4.1 Flash builds exist?#
Two community approaches cover V4.1 Flash: Heretic abliteration by s-zaizen, and a custom weight edit by dealignai released in FP8. GGUF quantizations derive from each, and huihui-ai's and orcarouter's builds use the earlier V4-Flash model instead.
- V4.1 Flash family (released September 2026)
- s-zaizen — the abliterated checkpoint (built with Heretic)
- audreyt — GGUF conversion of the checkpoint
- dealignai — custom uncensored weight edit (FP8)
- pyrodog — GGUF conversion, tuned for Apple Silicon
- Solstice-AI — GGUF conversion
- s-zaizen — the abliterated checkpoint (built with Heretic)
- V4-Flash family (released July 2026, a different base)
- huihui-ai — abliteration of V4-Flash-0731
- orcarouter — a Vision build of V4-Flash (uncensored)
How was the s-zaizen abliterated checkpoint made?#
s-zaizen/DeepSeek-V4.1-Flash-Abliterated was made with Heretic (p-e-w/heretic, commit 3521f86). The edit applied per_all_4p5 to 40 attention output projections and kept the vision, Engram, and Multi-Token Prediction (MTP) components. For how the technique works, see our guide to what abliteration is.
The checkpoint is distributed as 48 safetensors shards totaling 510.297 GB. The distributor reports a refusal keyword rate of 97 out of 100 on the base model and 24 out of 100 after abliteration.
| Before abliteration | 97/100 | |
|---|---|---|
| After abliteration | 24/100 |
audreyt/DeepSeek-V4.1-Flash-Abliterated-GGUF is a DwarfStar Q2 GGUF published on September 12, 2026. It had 123,572 downloads as of October 12, 2026. For background on the format, see our overview of GGUF quantization.
What does dealignai's custom uncensored FP8 build offer?#
dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8 was published on September 10, 2026, and had 79,209 downloads and 559 likes as of October 12, 2026. It is a custom weight edit in FP8 with a 1-million-token context window, vision, tool calling, and a reasoning-max default mode. The distributor claims that MMLU, vision, reasoning, and MTP performance are preserved. These are the distributor's own claims.
Two GGUF derivatives are listed for it: Solstice-AI/DeepSeek-V4.1-Flash-UNCENSORED-HyperSynapse-SAS-GGUF with 21,876 downloads, and pyrodog/DeepSeek-V4.1-Flash-UNCENSORED-DwarfStar-Q2 with 60,727 downloads, aimed at Apple Silicon.
Which community builds are based on the older V4-Flash?#
huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF was published on August 2, 2026, and had 345,061 downloads as of October 12, 2026. Its base is DeepSeek-V4-Flash-0731 from July 2026, not the September V4.1 Flash release. For background on this publisher, see our huihui-ai guide.
orcarouter/DeepSeek-V4-Flash-Vision-Uncensored-GGUF had 11,810 downloads and is also built on V4-Flash. The repository is gated on Hugging Face.
The table summarizes the builds above:
| Build | Modification method | Base model | Format | Downloads (as of 2026-10-12) |
|---|---|---|---|---|
| s-zaizen | Abliteration (Heretic commit 3521f86) | V4.1 Flash (Sep 2026) | safetensors (48 shards, 510.297 GB) | Not recorded |
| audreyt | GGUF of the s-zaizen checkpoint | V4.1 Flash (Sep 2026) | GGUF (DwarfStar Q2) | 123,572 |
| dealignai | Custom weight edit | V4.1 Flash (Sep 2026) | FP8 (1M context) | 79,209 (559 likes) |
| pyrodog | GGUF of dealignai's build | V4.1 Flash (Sep 2026) | GGUF (DwarfStar Q2, Apple Silicon) | 60,727 |
| Solstice-AI | GGUF of dealignai's build | V4.1 Flash (Sep 2026) | GGUF (HyperSynapse-SAS) | 21,876 |
| huihui-ai | Abliteration | V4-Flash-0731 (Jul 2026) | GGUF | 345,061 |
| orcarouter | Uncensored vision (gated) | V4-Flash (Jul 2026) | GGUF | 11,810 |
Download counts show demand, not quality.
How do V4-Flash and V4.1 Flash differ?#
DeepSeek V4-Flash and V4.1 Flash are different models. V4-Flash dates from July 2026, and the huihui-ai build uses V4-Flash-0731. V4.1 Flash was released on September 10, 2026. Builds based on V4-Flash, including huihui-ai's and orcarouter's, are therefore not built on the September model.
The distinction matters because huihui-ai's build has the most downloads in the table above, which makes it easy to take for a V4.1 Flash derivative. In the repository names listed here, V4-Flash marks the older base and V4.1-Flash the September one.
Which build should you choose?#
Choose by what you need. For an edit you can trace to a specific Heretic commit, take s-zaizen's checkpoint. For 1-million-token context, vision, and tool calling, take dealignai's FP8 build, remembering that these are the distributor's claims. For a quantized GGUF, take audreyt's for the s-zaizen edit, or pyrodog's or Solstice-AI's for dealignai's.
s-zaizen's repository specifies the Heretic commit (3521f86), the per_all_4p5 setting, and the 40 attention output projections that were edited. That makes it the build to pick if you want to know exactly what was changed. At 510.297 GB across 48 shards, it is also the largest download listed here.
On Apple Silicon, pyrodog's GGUF is the build aimed at that hardware. Check each GGUF repository's file listing for sizes before downloading. If you would rather not download weights at all, our guide to choosing an uncensored AI covers other options.
What should you check before running one?#
Before downloading, check the base model in the repository name (V4-Flash or V4.1-Flash), the repository's license, and whether it is gated. Treat capability and refusal figures as distributor-reported claims. A lowered refusal rate does not mean refusals are gone.
Review these points before running an uncensored build:
- The refusal keyword rate (97 out of 100 down to 24 out of 100) and dealignai's claims about MMLU, vision, reasoning, and MTP come from the distributors, not from independent tests.
- Even in the s-zaizen figures, 24 out of 100 still triggered refusal keywords, so some refusals remain.
- The upstream DeepSeek V4.1 Flash release is MIT-licensed, but each derivative's repository page may state its own terms, and orcarouter's repository is gated.
- s-zaizen's checkpoint is 48 shards totaling 510.297 GB, and GGUF file sizes vary by repository.
What is Deepent Research?#
Deepent Research is a browser-accessible LLM chat service built to refuse as little as possible. It keeps going with research that a standard AI would cut off mid-answer.
- It refuses nothing. We run uncensored and abliterated models with guardrails reduced as far as possible, so prompts a standard AI answers with "I can't help with that" still get a response (Qwen3.5 / Qwen3.8-27B-abliterated, depending on your plan).
- Your input is never used for training. What you look up is used only to provide the service, never to train AI or for any other purpose. Personal data is protected, and our privacy policy is public.
- Try it free. No GPU and no install, just open a browser. In the logged-out trial your conversation isn't saved, so you can start casually.
→ Try it free, no sign-up: https://deepentresearch.com
No question can stop research.
Frequently asked questions#
Is there an official uncensored version of DeepSeek V4.1 Flash?#
No. DeepSeek released V4.1 Flash on September 10, 2026, under the MIT license and has not published an uncensored version. Every abliterated, uncensored, or GGUF build of it on Hugging Face, including those from s-zaizen, dealignai, audreyt, pyrodog, and Solstice-AI, is a community modification made and distributed by third parties.
Can you run DeepSeek V4.1 Flash locally on a consumer PC?#
The full s-zaizen checkpoint is 510.297 GB across 48 safetensors shards, so size is the first constraint. GGUF quantizations exist for smaller setups: audreyt's DwarfStar Q2 build, pyrodog's DwarfStar Q2 build aimed at Apple Silicon, and Solstice-AI's HyperSynapse-SAS build. Check each repository's file listing for sizes before downloading.
Are huihui-ai's DeepSeek models built on V4.1 Flash?#
No. huihui-ai's Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF is built on DeepSeek-V4-Flash-0731 from July 2026 and was published on August 2, 2026. It had 345,061 downloads as of October 12, 2026, but it is a different model from V4.1 Flash. For a V4.1 Flash base, look at the s-zaizen or dealignai builds and their GGUF derivatives.
Does abliteration guarantee that a model will answer all prompts?#
No. In the s-zaizen distributor's own evaluation, abliteration lowered the refusal keyword rate from 97 out of 100 to 24 out of 100. That is a large drop, but 24 out of 100 means some prompts still produced refusal keywords. The figure is distributor-reported, so test any build on your own prompts.
Disclaimer#
This article was drafted with AI assistance and then reviewed, fact-checked, and edited by the Deepent Research team before publication.
It is provided for educational and research purposes and is not intended to encourage unlawful activity or crime.
Where figures are cited, they come from third-party public reports and vendor-published values and may vary with measurement conditions.
How this note was edited and verified
We cross-check primary sources such as official documentation and papers, and organize only what the facts support.
This note was drafted with AI, then fact-checked, expanded, and edited by the operator before publication.
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Try it yourself
Deepent Research is an LLM chat service that refuses almost nothing. Everything covered in this note can be tried without downloading anything.