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DeepSeek family AI models

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3 models in this listing

dealignai

DeepSeek-V4.1-Flash-1017-EXL3-2.9bpw-UNCENSORED

Source-based description

dealignai's DeepSeek-V4.1-Flash-1017-EXL3-2.9bpw-UNCENSORED repository provides the same EXL3 2.9 bpw safetensors bundle that LibertAI released for the DeepSeek-V4.1-Flash-1017 model, but the creator says the refusal behavior has been removed to make the model uncensored across six languages. According to the model card the modification is described as abliteration of the refusal pathways while leaving the rest of the stack identical, and the creator notes that the vision tower, the DSpark multi-token-prediction head and the Engram n-gram lookup tables are byte-identical to the LibertAI base pack. The card reports MMLU-500 accuracy of 63.20 % for this bundle versus 67.40 % for the base, and HarmBench-320 compliance of 100 % in both chat and hardest reasoning modes, with the creator attributing these numbers to their own evaluation runs. In the creator’s tests no looping was observed in ten prompts and no drift back to refusal occurred in multiturn adversarial scenarios, which the model card presents as evidence of stable uncensored behavior. The repository distributes the model as safetensors weights under an “other” license and is intended for use with exllamav3‑based text-generation pipelines.

Model type (creator-reported)
abliterateduncensored
Size / main format303.257Bsafetensors
License tagotherLast updated
2026-10-18 · 20:18:51.000 UTC
Original model ↗: dealignai/DeepSeek-V4.1-Flash-1017-EXL3-2.9bpw-UNCENSORED

dealignai

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

Source-based description

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.

Model type (creator-reported)
abliterateduncensoredfine-tuned
Size / main format763.205Bsafetensors
License tagmitLast updated
2026-10-18 · 12:45:29.000 UTC
Original model ↗: dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8

AtomicChat

DeepSeek-V4.1-Flash-1017-Uncensored-GGUF

Source-based description

AtomicChat’s DeepSeek-V4.1-Flash-1017-Uncensored-GGUF is a derivative of deepseek-ai/DeepSeek-V4.1-Flash-1017 that projects DeepSeek’s refusal direction out of the released weights and bakes the edit into GGUF builds. The repository provides 2.67bpw-IQ1_M and 3.58bpw-Q2_K builds, plus a rank-1 GGUF LoRA adapter expressing the same residual-stream edit for compatible GGUF bases. According to the model card, the creator measured the files against Unsloth builds of matching layout and reports reduced refusals, while warning that IQ1_M reduced MMLU and showed more looping than the Q2_K build. The creator also says the edit removes refusals broadly rather than preserving a narrow topic set, and that long thinking traces may continue when the base model would have declined. These files require a llama.cpp build with DeepSeek-V4.1 support, which the card says was not yet in a release or Atomic Chat. The listed weight format is GGUF, and the repository license is MIT.

Model type (creator-reported)
uncensoredfine-tuned
Size / main formatUnknownGGUF
License tagmitLast updated
2026-10-20 · 16:54:11.000 UTC
Original model ↗: AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GGUF