Qwythos-9B-v2
9BOtheruncensored
from empero-ai/Qwythos-9B-v2
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FLUX.2-klein-base-9B-bucket-uncensored
FLUX.2-klein-base-9B-bucket-uncensored is a abliterated and uncensored open-weight language model, published on Hugging Face by darknight9121. It is 9B parameters, single consumer GPU class and other licence. It is distributed across 3 repositories in Transformers format, totalling 25.2K downloads.
Specification
- Model name
- FLUX.2-klein-base-9B-bucket-uncensored
- Source repository
- darknight9121/FLUX.2-klein-base-9B-bucket-uncensored
- Base model
- Not declared
- Publisher
- darknight9121
- Parameters
- 9B
- Hardware class
- 4B – 10B — single consumer GPU
- Licence
- other
- Task
- Image to image
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers
- First indexed
- 25 Jun 2026
- Last updated
- 10 Aug 2026
Ablation technique
How FLUX.2-klein-base-9B-bucket-uncensored was modified, and what that implies.
Abliteration + uncensored fine-tune
Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, delivering state-of-the-art quality with end-to-end inference in as low as under a second. Built for applications that require real-time image generation without...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "darknight9121/FLUX.2-klein-base-9B-bucket-uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve darknight9121/FLUX.2-klein-base-9B-bucket-uncensored --trust-remote-codeDownloads and variants (2)
Every published repository of FLUX.2-klein-base-9B-bucket-uncensored, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| darknight9121/FLUX.2-klein-base-9B-bucket-uncensoredsource | Transformers | 22.5K |
| VectorVoid666/FLUX.2-klein-base-9B-bucket-uncensored | Transformers | 2.7K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- FLUX.2-klein-base-9B-bucket-uncensored will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- Capability is inherited from its base model, not added by ablation — at 9B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for FLUX.2-klein-base-9B-bucket-uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with darknight9121, and does not independently verify publisher claims. See responsible use.