abliteratedmodels.org

Ornith-1.0-9B-abliterated

Ornith-1.0-9B-abliterated is a refusal-ablated variant of deepreinforce-ai/Ornith-1.0-9B, published on Hugging Face by PinoCookie. It is 9B parameters, single consumer GPU class and mit licence. It is distributed across 6 repositories in NVFP4, GGUF, MLX and Transformers formats, totalling 10.2K downloads.

Abliteration (directional ablation)9BOrnith4B – 10B10,21729

Specification

Model name
Ornith-1.0-9B-abliterated
Publisher
PinoCookie
Parameters
9B
Hardware class
4B – 10B — single consumer GPU
Licence
mit
Task
Text generation
Context window
262K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
NVFP4, GGUF, MLX, Transformers
First indexed
30 Jun 2026
Last updated
4 Aug 2026

Ablation technique

How Ornith-1.0-9B-abliterated was modified, and what that implies.

Abliteration (directional ablation)

The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.

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

Ornith-1.0-9B is DeepReinforce AI's agentic coding model, a dense 9B transformer post-trained on Qwen 3.5. It's designed for autonomous code generation, tool calling, and long-context agentic workflows (262K context length).

Running it

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

llama.cpp / GGUF
hf download huihui-ai/Huihui-Ornith-1.0-9B-abliterated-MTP-GGUF --local-dir ./ornith-1.0-9b-abliterated
llama-cli -m ./ornith-1.0-9b-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "PinoCookie/Ornith-1.0-9B-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve PinoCookie/Ornith-1.0-9B-abliterated --trust-remote-code

Downloads and variants (5)

Every published repository of Ornith-1.0-9B-abliterated, 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-1.0-9B-abliterated 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 deepreinforce-ai/Ornith-1.0-9B, 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.
  • Declared licence is mit, but the terms that bind you are deepreinforce-ai/Ornith-1.0-9B’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-1.0-9B-abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with PinoCookie, and does not independently verify publisher claims. See responsible use.