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ArliAI_GLM-4.5-Air-Derestricted

ArliAI_GLM-4.5-Air-Derestricted is a abliterated and uncensored variant of ArliAI/GLM-4.5-Air-Derestricted, published on Hugging Face by bartowski. It is mit licence. It is distributed across 3 repositories in GGUF format, totalling 6.8K downloads.

Abliteration + uncensored fine-tuneOther↓ 6,807♥ 33

Specification

Model name
ArliAI_GLM-4.5-Air-Derestricted
Publisher
bartowski
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
mit
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
24 Nov 2025
Last updated
14 Apr 2026

Ablation technique

How ArliAI_GLM-4.5-Air-Derestricted 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

“All quants made using imatrix option with dataset from here combined with a subset of combinedallsmall.parquet from Ed Addario here”

Running it

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

llama.cpp / GGUF
hf download bartowski/ArliAI_GLM-4.5-Air-Derestricted-GGUF --local-dir ./arliai-glm-4.5-air-derestricted
llama-cli -m ./arliai-glm-4.5-air-derestricted/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "bartowski/ArliAI_GLM-4.5-Air-Derestricted-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve bartowski/ArliAI_GLM-4.5-Air-Derestricted-GGUF --trust-remote-code

Downloads and variants (2)

Every published repository of ArliAI_GLM-4.5-Air-Derestricted, 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.

  • ArliAI_GLM-4.5-Air-Derestricted 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.
  • 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 mit, but the terms that bind you are ArliAI/GLM-4.5-Air-Derestricted’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 ArliAI_GLM-4.5-Air-Derestricted is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with bartowski, and does not independently verify publisher claims. See responsible use.