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GLM-5.3-Flash-Abliterated

GLM-5.3-Flash-Abliterated is a refusal-ablated variant of zai-org/GLM-5.3-Flash, published on Hugging Face by Piecrust. It is other licence. It is distributed across 29 repositories in GGUF, NVFP4, EXL3 and Transformers formats, totalling 63K downloads.

Abliteration (directional ablation)GLM↓ 63,032♥ 358

Specification

Model name
GLM-5.3-Flash-Abliterated
Publisher
Piecrust
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
other
Task
Image text to text
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, NVFP4, EXL3, Transformers, MLX
First indexed
28 Aug 2026
Last updated
31 Oct 2026

Ablation technique

How GLM-5.3-Flash-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

“76348ddb2be2e35e39ecfc00e75dc07703f4f3d5) with the Huihui refusal-direction edit re-applied to its own weights and stored in its own formats. It answers where the original refuses or deflects, with the same speed and, in our tests, the same quality.”

Running it

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

llama.cpp / GGUF
hf download huihui-ai/Huihui-GLM-5.3-Flash-abliterated-GGUF --local-dir ./glm-5.3-flash-abliterated
llama-cli -m ./glm-5.3-flash-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Piecrust/GLM-5.3-Flash-FP4-Abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Piecrust/GLM-5.3-Flash-FP4-Abliterated --trust-remote-code

Downloads and variants (28)

Every published repository of GLM-5.3-Flash-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.

  • GLM-5.3-Flash-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.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • Declared licence is other, but the terms that bind you are zai-org/GLM-5.3-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-5.3-Flash-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 Piecrust, and does not independently verify publisher claims. See responsible use.