ai_Huihui-gpt-oss-20b-abliterated
20BGPT-OSS
from huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated
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GPT-oss-20b-abliterated-uncensored
GPT-oss-20b-abliterated-uncensored is a abliterated and uncensored variant of huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated, published on Hugging Face by DavidAU. It is 20B parameters, 24GB VRAM class class and apache-2.0 licence. It is distributed across 10 repositories in GGUF format, totalling 44K downloads.
Specification
- Model name
- GPT-oss-20b-abliterated-uncensored
- Source repository
- DavidAU/OpenAi-GPT-oss-20b-abliterated-uncensored-NEO-Imatrix-gguf
- Publisher
- DavidAU
- Parameters
- 20B
- Hardware class
- 10B – 25B — 24GB VRAM class
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- 128K tokens (as documented)
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 7 Aug 2025
- Last updated
- 6 Aug 2026
Ablation technique
How GPT-oss-20b-abliterated-uncensored 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
“Specialized uncensored/abliterated quants for new OpenAI 20B MOE - Mixture of Experts Model at 80+ T/S. See settings and special instructions for using abliterated models below.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download DavidAU/OpenAi-GPT-oss-20b-abliterated-uncensored-NEO-Imatrix-gguf --local-dir ./gpt-oss-20b-abliterated-uncensored
llama-cli -m ./gpt-oss-20b-abliterated-uncensored/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "DavidAU/OpenAi-GPT-oss-20b-abliterated-uncensored-NEO-Imatrix-gguf"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve DavidAU/OpenAi-GPT-oss-20b-abliterated-uncensored-NEO-Imatrix-gguf --trust-remote-codeDownloads and variants (9)
Every published repository of GPT-oss-20b-abliterated-uncensored, 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-abliterated-uncensored 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-gpt-oss-20b-BF16-abliterated, 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.
- 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 huihui-ai/Huihui-gpt-oss-20b-BF16-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 GPT-oss-20b-abliterated-uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with DavidAU, and does not independently verify publisher claims. See responsible use.