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MiniCPM5-1B-heretic

MiniCPM5-1B-heretic is a Heretic-ablated variant of openbmb/MiniCPM5-1B, published on Hugging Face by Dingdust. It is 1B parameters, runs on a laptop CPU class and apache-2.0 licence. It is distributed across 7 repositories in GGUF, Transformers and GGUF (imatrix) formats, totalling 5.3K downloads.

Heretic1BMiniCPMUnder 4B5,3364

Specification

Model name
MiniCPM5-1B-heretic
Publisher
Dingdust
Parameters
1B
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, Transformers, GGUF (imatrix)
First indexed
31 May 2026
Last updated
22 Aug 2026

Ablation technique

How MiniCPM5-1B-heretic was modified, and what that implies.

Heretic

Automated directional ablation via the Heretic toolchain, which searches for the refusal direction and applies it with a KL-divergence budget so general capability is preserved.

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

We are releasing MiniCPM5-1B, the first model in the MiniCPM5 series. It is a dense 1B Transformer built for on-device, local deployment, and resource-constrained scenarios, reaching 1B-class open-source SOTA.

Running it

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

llama.cpp / GGUF
hf download saidutta69/MiniCPM5-1B-heretic --local-dir ./minicpm5-1b-heretic
llama-cli -m ./minicpm5-1b-heretic/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Dingdust/MiniCPM5-1B-heretic"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Dingdust/MiniCPM5-1B-heretic --trust-remote-code

Downloads and variants (6)

Every published repository of MiniCPM5-1B-heretic, 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.

  • MiniCPM5-1B-heretic 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/MiniCPM5-1B, not added by ablation — at 1B 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 apache-2.0, but the terms that bind you are openbmb/MiniCPM5-1B’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 MiniCPM5-1B-heretic is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Dingdust, and does not independently verify publisher claims. See responsible use.