abliteratedmodels.org

Ornith-1.5-35B-A3B-Uncensored

Ornith-1.5-35B-A3B-Uncensored is a abliterated and uncensored variant of ornith-ai/Ornith-1.5-35B-A3B, published on Hugging Face by 0xKitkat. It is 35B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 19 repositories in GGUF, GGUF (imatrix), Transformers and MLX formats, totalling 100.3K downloads.

Abliteration + uncensored fine-tune35B MoEOrnith25B – 50B100,30129

Specification

Model name
Ornith-1.5-35B-A3B-Uncensored
Publisher
0xKitkat
Parameters
35B (mixture-of-experts)
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Image text to text
Context window
262K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
GGUF, GGUF (imatrix), Transformers, MLX, NVFP4, OpenVINO
First indexed
20 Aug 2026
Last updated
1 Sept 2026

Ablation technique

How Ornith-1.5-35B-A3B-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

This is a streamed task-vector transplant, not a prompt wrapper:

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download 0xKitkat/Ornith-1.5-35B-A3B-Uncensored-GGUF --local-dir ./ornith-1.5-35b-a3b-uncensored
llama-cli -m ./ornith-1.5-35b-a3b-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "0xKitkat/Ornith-1.5-35B-A3B-Uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve 0xKitkat/Ornith-1.5-35B-A3B-Uncensored --trust-remote-code

Downloads and variants (18)

Every published repository of Ornith-1.5-35B-A3B-Uncensored, including quantised re-releases by other authors.

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • Ornith-1.5-35B-A3B-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 ornith-ai/Ornith-1.5-35B-A3B, not added by ablation — at 35B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
  • 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.
  • Declared licence is apache-2.0, but the terms that bind you are ornith-ai/Ornith-1.5-35B-A3B’s — a re-release cannot grant more than its parent.

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 Ornith-1.5-35B-A3B-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 0xKitkat, and does not independently verify publisher claims. See responsible use.