abliteratedmodels.org

Ling-3.0-tiny-abliterated

Ling-3.0-tiny-abliterated is a refusal-ablated variant of inclusionAI/Ling-3.0-tiny, published on Hugging Face by SC117. It is mit licence. It is distributed across 2 repositories in GGUF format, totalling 19.9K downloads.

Abliteration (directional ablation)Other19,90026

Specification

Model name
Ling-3.0-tiny-abliterated
Publisher
SC117
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
First indexed
13 Aug 2026
Last updated
19 Aug 2026

Ablation technique

How Ling-3.0-tiny-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

Abliterated APEX GGUF quants of inclusionAI/Ling-3.0-tiny — 7.9B total / 1.3B active hybrid-reasoning MoE

Running it

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

Ollama (publisher-documented)
ollama run ling-tiny-abliterated
llama.cpp / GGUF
hf download SC117/Ling-3.0-tiny-abliterated-APEX-GGUF --local-dir ./ling-3.0-tiny-abliterated
llama-cli -m ./ling-3.0-tiny-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "SC117/Ling-3.0-tiny-abliterated-APEX-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve SC117/Ling-3.0-tiny-abliterated-APEX-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Ling-3.0-tiny-abliterated.

RepositoryFormatDownloads
SC117/Ling-3.0-tiny-abliterated-APEX-GGUFsourceGGUF19.9K

Security-team assessment

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

  • Ling-3.0-tiny-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 mit, but the terms that bind you are inclusionAI/Ling-3.0-tiny’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 Ling-3.0-tiny-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 SC117, and does not independently verify publisher claims. See responsible use.