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gpt-oss-20b-heretic

gpt-oss-20b-heretic is a Heretic-ablated variant of openai/gpt-oss-20b, published on Hugging Face by p-e-w. It is 20B parameters, 24GB VRAM class class and apache-2.0 licence. It is distributed across 25 repositories in Transformers, GGUF and Full precision formats, totalling 6K downloads.

Heretic20BGPT-OSS10B – 25B↓ 6,041♥ 158

Specification

Model name
gpt-oss-20b-heretic
Source repository
p-e-w/gpt-oss-20b-heretic
Publisher
p-e-w
Parameters
20B
VRAM required
~13 GB at Q4_K_M, 4k context (estimated) — runs on 16 GB cards
Hardware class
10B – 25B — 24GB VRAM class
Licence
apache-2.0
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, Full precision
First indexed
16 Nov 2025
Last updated
16 Oct 2026

Ablation technique

How gpt-oss-20b-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

“Welcome to the gpt-oss series, OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.”

Running it

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

Ollama (publisher-documented)
ollama run gpt-oss:20b
llama.cpp / GGUF
hf download mradermacher/gpt-oss-20b-heretic-GGUF --local-dir ./gpt-oss-20b-heretic
llama-cli -m ./gpt-oss-20b-heretic/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "p-e-w/gpt-oss-20b-heretic"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve p-e-w/gpt-oss-20b-heretic --trust-remote-code

Downloads and variants (24)

Every published repository of gpt-oss-20b-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.

  • gpt-oss-20b-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 openai/gpt-oss-20b, not added by ablation — at 20B 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 openai/gpt-oss-20b’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 gpt-oss-20b-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 p-e-w, and does not independently verify publisher claims. See responsible use.