language:

• en
  license: mit
  base_model: deepseek-ai/DeepSeek-V4.1-Flash-1017
  base_model_relation: finetune
  library_name: transformers
  pipeline_tag: image-text-to-text
  thumbnail: dealign_mascot.png
  extra_gated_prompt: |
  By requesting access you confirm you are 18+, will use the model solely in
  compliance with applicable law in your jurisdiction, and accept full responsibility
  for all outputs. Access is granted at the sole discretion of the repository owner.
  extra_gated_fields:
  Name: text
  Affiliation / organization: text
  Country: country
  Primary use case: text
  I confirm I am 18 or older: checkbox
  I accept full responsibility for outputs: checkbox
  tags:
• deepseek
• deepseek_v41
• fp8
• uncensored
• abliterated
• vision-language
• reasoning
• 1M-context
• dsv41

DeepSeek-V4.1-Flash-1017 — ABLITERATED (FP8)

👉 This is an alias — the actual model weights live at dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8.

Please use the canonical repo:
https://huggingface.co/dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8

That repo contains the model weights, tokenizer, inference code (inference/), prompt-encoding
module (encoding/), benchmarks, run instructions, and the gated-access form.

This name exists only as a canonical alternate reference for users who search for "abliterated"
rather than "uncensored" — same model, same ship date, same release owner.

[!IMPORTANT]
Gating is temporary — it will be lifted (public download) once the full HarmBench-320 and
MMLU-14k evaluations complete and the final numbers land on the UNCENSORED card. Until then,
access is approved case-by-case.

[!CAUTION]

Attribution is required

If you redistribute, quantize (GGUF / MLX / EXL / AWQ / anything), fine-tune, serve, benchmark,
or otherwise build on this model: please prominently credit
dealignai as the source and link back to the
UNCENSORED repository in your model card.

Credits

• Base model by DeepSeek-AI. Reference inference/ engine
  and encoding/ module by DeepSeek-AI (MIT).
• Release and model card by @dealignai.
• H200 compute for building this release was generously provided by
  @jordanschenck.