dealignai / Model details
DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8
dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8
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 · 2 unique source links. 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:
Hands-on report
- One user reports running the uncensored FP8 bundle on an 8‑node DGX Spark cluster and completing all 24 requests without errors; the model works out of the box but shows 20‑30% slower prefill and 6‑18% slower decode compared to the official checkpoint.
Tested revision: Unknown · Quantization: Unknown
Announcements & promotions
Announcement
- The repository owner announced that macOS builds of the uncensored model will be released within 24 hours, providing a ~95 GB and a ~230 GB version for Apple silicon.
Tested revision: Unknown · Quantization: Unknown
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.
- DeepSeek: Base model: deepseek-ai/DeepSeek-V4.1-Flash-1017
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗safetensors
- No other explicitly linked versions recorded.
Refusal profile
Not yet measured: no GGUF version is available for our runner.
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/dealignai-deepseek-v4-1-flash-1017-uncensored-fp8/)HTML
<a href="https://customclankers.com/models/dealignai-deepseek-v4-1-flash-1017-uncensored-fp8/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
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
- Heretic ↗ ★ 36,421
Removes refusal behavior from transformer models automatically. It pairs directional ablation (abliteration) with an Optuna parameter search that tries to cut refusals while keeping the model close to the original, so you don't have to pick layers by hand.
- OBLITERATUS ↗ ★ 8,946
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 ↗ ★ 78,528
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.
- LlamaFactory ↗ ★ 75,713
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 ↗ ★ 132,260
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 ↗ ★ 7,467
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 ↗ ★ 7,414
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 ↗ ★ 84,667
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.
Source provenance
- Downloads
- 4,141
- Likes
- 313
- Metadata checked
- 2026-10-24 · 09:40:11 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 host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
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