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DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8

dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8

abliterateduncensoredfine-tuned
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Family: Unknown. No supported family evidence recorded.

About this model

dealignai’s DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8 is derived from deepseek-ai/DeepSeek-V4.1-Flash-1017 and is distributed as safetensors weights under the MIT license. The creator describes it as the base model with its refusal behavior removed, with the change applied at weight level; the creator also says no supervised fine-tuning, RLHF, DPO, chat-template jailbreak, system-prompt override, or runtime hook is used. According to the model card, the released weights preserve upstream vision, video, reasoning-effort tiers, tool calling, and compatibility with DeepSeek’s reference inference and encoding components. The model card’s internal results report 83.77% MMLU versus 87.63% for the base and 320 of 320 HarmBench cases classified as compliance, but those results have not been independently verified here. The creator states the repository is manually gated, and the model card asks that downstream users credit the release.

Description sources

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model
deepseek-ai/DeepSeek-V4.1-Flash-1017
Parameters
763.205B
Main repository formats
safetensors
License tag
mit
Languages
en, es, fr, it, ru, th, zh
Last updated
2026-10-18 · 12:45:29.000 UTC

Community reviews & tips

Source-linked paraphrases of sampled community sources, not independently tested by this directory.

Sample window: to · 1 unique source link. This is a selected sample, not all community discussions.

Small sample: source links are not a count of independent reviewers or evidence of consensus.

Sources checked:

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

  • abliteratedsource tag: abliterated
  • uncensoredsource tag: uncensored
  • uncensoredmodel name: DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8
  • fine-tunedsource tag: base_model:finetune:deepseek-ai/DeepSeek-V4.1-Flash-1017

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • No supported family evidence recorded.

Available versions

Only explicitly linked variants are grouped here. Check the original repository for available files.

Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Tools to customize it further

Remove more refusals

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  • OBLITERATUS ↗ ★ 8,930

    A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.

Fine-tune it on your own data

  • Unsloth ↗ ★ 78,468

    A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.

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    Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.

Make a smaller download (quantize)

  • llama.cpp ↗ ★ 132,124

    Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.

  • MLX LM ↗ ★ 7,451

    Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.

Merge it with another model

  • mergekit ↗ ★ 7,415

    Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.

Learn the techniques

  • LLM Course ↗ ★ 84,633

    A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

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Source provenance

Downloads
4,141
Likes
296
Metadata checked
2026-10-23 · 23:39:28 UTC
First seen in index
2026-10-23 · 23:39:28 UTC
Source revision
c19ca5ca4eaeb79d29fdf08aea8327da95b1116a

Source-card excerpt

Source model card excerpt: Released by @dealignai · Compute generously provided by @jordanschenck []( []( [!NOTE] Please credit if you build on this. If you redistribute, quantize, fine-tune,

From dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not run, host, redistribute, or test model weights.

Collection rules & limitations ↗