Ling-3.0-tiny-Uncensored-Abliterated
from inclusionAI/Ling-3.0-tiny
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.
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”
Commands are templates — confirm the exact repository and quant file before use.
ollama run ling-tiny-abliteratedhf 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 "..."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 serve SC117/Ling-3.0-tiny-abliterated-APEX-GGUF --trust-remote-codeThe only published repository of Ling-3.0-tiny-abliterated.
| Repository | Format | Downloads |
|---|---|---|
| SC117/Ling-3.0-tiny-abliterated-APEX-GGUFsource | GGUF | 19.9K |
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
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.