abliteratedmodels.org

GLM-4.7-Flash-abliteratex

GLM-4.7-Flash-abliteratex is a refusal-ablated variant of zai-org/GLM-4.7-Flash, published on Hugging Face by wangzhang. It is mit licence. It is distributed across 4 repositories in GGUF and GGUF (imatrix) formats, totalling 12K downloads.

Abliteration (directional ablation)GLM11,9573

Specification

Model name
GLM-4.7-Flash-abliteratex
Publisher
wangzhang
Parameters
Not determinable from name
Hardware class
Unknown
Licence
mit
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, GGUF (imatrix)
First indexed
30 Jul 2026
Last updated
3 Sept 2026

Ablation technique

How GLM-4.7-Flash-abliteratex 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

GLM-4.7-Flash-Abliteratex is a rebuilt successor to wangzhang/GLM-4.7-Flash-abliterated. The release focuses on preserving the official checkpoint structure, reducing collateral capability damage, and providing a reproducible llama.cpp Q80 artifact.

Running it

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

llama.cpp / GGUF
hf download wangzhang/GLM-4.7-Flash-abliteratex --local-dir ./glm-4.7-flash-abliteratex
llama-cli -m ./glm-4.7-flash-abliteratex/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "wangzhang/GLM-4.7-Flash-abliteratex"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve wangzhang/GLM-4.7-Flash-abliteratex --trust-remote-code

Downloads and variants (3)

Every published repository of GLM-4.7-Flash-abliteratex, 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.

  • GLM-4.7-Flash-abliteratex 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.
  • Declared licence is mit, but the terms that bind you are zai-org/GLM-4.7-Flash’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 GLM-4.7-Flash-abliteratex is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with wangzhang, and does not independently verify publisher claims. See responsible use.