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Vietnamese-4B-Chat-abliterated

Vietnamese-4B-Chat-abliterated is a refusal-ablated variant of N14QM/Vietnamese-4B-Chat, published on Hugging Face by N14QM. It is 4B parameters, single consumer GPU class and other licence. It is distributed across 4 repositories in GGUF and GGUF (imatrix) formats, totalling 7.9K downloads.

Abliteration (directional ablation)4BOther4B – 10B↓ 7,935

Specification

Model name
Vietnamese-4B-Chat-abliterated
Publisher
N14QM
Parameters
4B
VRAM required
~3.2 GB at Q4_K_M, 4k context (estimated) — runs on 4 GB cards
Hardware class
4B – 10B — single consumer GPU
Licence
other
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, GGUF (imatrix)
First indexed
16 Oct 2026
Last updated
17 Oct 2026

Ablation technique

How Vietnamese-4B-Chat-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 version của N14QM/Vietnamese-4B-Chat.”

Running it

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

llama.cpp / GGUF
hf download N14QM/Vietnamese-4B-Chat-abliterated --local-dir ./vietnamese-4b-chat-abliterated
llama-cli -m ./vietnamese-4b-chat-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "N14QM/Vietnamese-4B-Chat-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve N14QM/Vietnamese-4B-Chat-abliterated --trust-remote-code

Downloads and variants (3)

Every published repository of Vietnamese-4B-Chat-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.

  • Vietnamese-4B-Chat-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.
  • Capability is inherited from N14QM/Vietnamese-4B-Chat, not added by ablation — at 4B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
  • 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 N14QM/Vietnamese-4B-Chat’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 Vietnamese-4B-Chat-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 N14QM, and does not independently verify publisher claims. See responsible use.