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Erebus-RP-Engine-26B-A4B

Erebus-RP-Engine-26B-A4B is a abliterated and uncensored variant of Naphula/Erebus-RP-Engine-26B-A4B, published on Hugging Face by Naphula. It is 26B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 4 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 6.3K downloads.

Abliteration + uncensored fine-tune26B MoEOther25B – 50B↓ 6,309♥ 7
View on Hugging Face ↗Base model ↗

Specification

Model name
Erebus-RP-Engine-26B-A4B
Source repository
Naphula/Erebus-RP-Engine-26B-A4B
Base model
Naphula/Erebus-RP-Engine-26B-A4B
Publisher
Naphula
Parameters
26B (mixture-of-experts)
VRAM required
~16.6 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Image text to text
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, GGUF (imatrix)
First indexed
31 Oct 2026
Last updated
1 Nov 2026

Ablation technique

How Erebus-RP-Engine-26B-A4B 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

“radial-gradient(circle at 85% 12%, rgba(41, 211, 196, 0.08) 0%, transparent 40%), / Soulfire glow / radial-gradient(circle at 15% 95%, rgba(0, 162, 255, 0.14) 0%, transparent 45%), / Deep Electric/Plasma Blue glow / radial-gradient(circle at 50% 50%, rgba(179, 71, 217, 0.05) 0%, transparent 60%); / Nether void /...”

Running it

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

llama.cpp / GGUF
hf download mradermacher/Erebus-RP-Engine-26B-A4B-i1-GGUF --local-dir ./erebus-rp-engine-26b-a4b
llama-cli -m ./erebus-rp-engine-26b-a4b/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Naphula/Erebus-RP-Engine-26B-A4B"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Naphula/Erebus-RP-Engine-26B-A4B --trust-remote-code

Downloads and variants (3)

Every published repository of Erebus-RP-Engine-26B-A4B, including quantised re-releases by other authors.

RepositoryFormatDownloads
mradermacher/Erebus-RP-Engine-26B-A4B-i1-GGUFGGUF (imatrix)5.1K
mradermacher/Erebus-RP-Engine-26B-A4B-GGUFGGUF1.2K
Naphula/Erebus-RP-Engine-26B-A4BsourceTransformers66

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • Erebus-RP-Engine-26B-A4B 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 Naphula/Erebus-RP-Engine-26B-A4B, not added by ablation — at 26B 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.
  • 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 Naphula/Erebus-RP-Engine-26B-A4B’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 Erebus-RP-Engine-26B-A4B is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Naphula, and does not independently verify publisher claims. See responsible use.