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MiniCPM5-2B-Abliterated-Uncensored

MiniCPM5-2B-Abliterated-Uncensored is a abliterated and uncensored variant of openbmb/MiniCPM5-2B, published on Hugging Face by 0xSojalSec. It is 2B parameters, runs on a laptop CPU class and apache-2.0 licence. It is distributed across 8 repositories in GGUF, MLX, GGUF (imatrix) and Transformers formats, totalling 11.4K downloads.

Abliteration + uncensored fine-tune2BMiniCPMUnder 4B↓ 11,407♥ 21

Specification

Model name
MiniCPM5-2B-Abliterated-Uncensored
Publisher
0xSojalSec
Parameters
2B
VRAM required
~1.9 GB at Q4_K_M, 4k context (estimated) — runs on 4 GB cards
Hardware class
Under 4B — runs on a laptop CPU
Licence
apache-2.0
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, MLX, GGUF (imatrix), Transformers
First indexed
8 Sept 2026
Last updated
1 Nov 2026

Ablation technique

How MiniCPM5-2B-Abliterated-Uncensored was modified, and what that implies.

Abliteration + uncensored fine-tune

Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.

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

“This is an uncensored version of openbmb/MiniCPM5-2B created with abliteration.”

Running it

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

llama.cpp / GGUF
hf download mondk/MiniCPM5-2B-Abliterated-Uncensored-GGUF --local-dir ./minicpm5-2b-abliterated-uncensored
llama-cli -m ./minicpm5-2b-abliterated-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "0xSojalSec/MiniCPM5-2B-Abliterated-Uncensored-Safetensors"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve 0xSojalSec/MiniCPM5-2B-Abliterated-Uncensored-Safetensors --trust-remote-code

Downloads and variants (7)

Every published repository of MiniCPM5-2B-Abliterated-Uncensored, 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.

  • MiniCPM5-2B-Abliterated-Uncensored 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 openbmb/MiniCPM5-2B, not added by ablation — at 2B 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.
  • This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
  • Declared licence is apache-2.0, but the terms that bind you are openbmb/MiniCPM5-2B’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 MiniCPM5-2B-Abliterated-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with 0xSojalSec, and does not independently verify publisher claims. See responsible use.