abliteratedmodels.org

Muse-Glimmer-30B-Heretic-Abliterated

Muse-Glimmer-30B-Heretic-Abliterated is a Heretic-ablated variant of meta-models/Muse-Glimmer-30B, published on Hugging Face by mradermacher. It is 30B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 7 repositories in Full precision, GGUF and GGUF (imatrix) formats, totalling 20.1K downloads.

Heretic30BOther25B – 50B20,1005

Specification

Model name
Muse-Glimmer-30B-Heretic-Abliterated
Publisher
mradermacher
Parameters
30B
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Full precision, GGUF, GGUF (imatrix)
First indexed
11 Aug 2026
Last updated
16 Aug 2026

Ablation technique

How Muse-Glimmer-30B-Heretic-Abliterated 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

For a convenient overview and download list, visit our model page for this model.

Running it

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

llama.cpp / GGUF
hf download mradermacher/Muse-Glimmer-30B-Heretic-Abliterated-BF16-i1-GGUF --local-dir ./muse-glimmer-30b-heretic-abliterated
llama-cli -m ./muse-glimmer-30b-heretic-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "mradermacher/Muse-Glimmer-30B-Heretic-Abliterated-BF16-i1-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve mradermacher/Muse-Glimmer-30B-Heretic-Abliterated-BF16-i1-GGUF --trust-remote-code

Downloads and variants (6)

Every published repository of Muse-Glimmer-30B-Heretic-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.

  • Muse-Glimmer-30B-Heretic-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 meta-models/Muse-Glimmer-30B, not added by ablation — at 30B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
  • 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 meta-models/Muse-Glimmer-30B’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 Muse-Glimmer-30B-Heretic-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 mradermacher, and does not independently verify publisher claims. See responsible use.