⌦abliteratedmodels.org

Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE

Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE is a abliterated and uncensored variant of huihui-ai/Huihui-Ornith-1.5-35B-A3B-abliterated, published on Hugging Face by gbuzhf. It is 35B total parameters (mixture-of-experts), 48GB VRAM class class and mit licence. It is distributed across 2 repositories in GGUF format, totalling 23.7K downloads.

Abliteration + uncensored fine-tune35B MoEOrnith25B – 50B↓ 23,728♥ 6

Specification

Model name
Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE
Publisher
gbuzhf
Parameters
35B (mixture-of-experts)
VRAM required
~22.1 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
Hardware class
25B – 50B — 48GB VRAM class
Licence
mit
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
19 Sept 2026
Last updated
29 Oct 2026

Ablation technique

How Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE 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

“36,025-chunk importance matrix, ICE 1.6 per-tensor recipes and ICE 2.0 post-quantization expert repair. Every file keeps the MTP draft layer. The ICE files carry peculiar-ragdoll's v22.5.0 Qwen-Sharp chat template with gbuzhf's arrow4.0 harness operator wrapper.”

Running it

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

llama.cpp / GGUF
hf download gbuzhf/Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE-GGUF --local-dir ./ornith-1.5-35b-a3b-huihui-sangreal-mtp-ice
llama-cli -m ./ornith-1.5-35b-a3b-huihui-sangreal-mtp-ice/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "gbuzhf/Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve gbuzhf/Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE.

RepositoryFormatDownloads
gbuzhf/Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE-GGUFsourceGGUF23.7K

Security-team assessment

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

  • Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE 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 huihui-ai/Huihui-Ornith-1.5-35B-A3B-abliterated, not added by ablation — at 35B 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 mit, but the terms that bind you are huihui-ai/Huihui-Ornith-1.5-35B-A3B-abliterated’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 Ornith-1.5-35B-A3B-Huihui-Sangreal-MTP-ICE is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with gbuzhf, and does not independently verify publisher claims. See responsible use.