Qwen3-8B-abliterated-v2
8BQwen
from Qwen/Qwen3-8B
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Josiefied-Qwen3-8B-abliterated-v1
Josiefied-Qwen3-8B-abliterated-v1 is a refusal-ablated variant of Qwen/Qwen3-8B, published on Hugging Face by Goekdeniz-Guelmez. It is 8B parameters and single consumer GPU class. It is distributed across 26 repositories in Transformers, GGUF, GGUF (imatrix) and MLX formats, totalling 10.5K downloads.
Specification
- Model name
- Josiefied-Qwen3-8B-abliterated-v1
- Source repository
- Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1
- Base model
- Qwen/Qwen3-8B
- Publisher
- Goekdeniz-Guelmez
- Parameters
- 8B
- Hardware class
- 4B – 10B — single consumer GPU
- Licence
- Not declared
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers, GGUF, GGUF (imatrix), MLX, EXL2, EXL3, AWQ
- First indexed
- 29 Apr 2025
- Last updated
- 23 Jun 2026
Ablation technique
How Josiefied-Qwen3-8B-abliterated-v1 was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
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
“The JOSIEFIED model family represents a series of highly advanced language models built upon renowned architectures such as Alibaba’s Qwen2/2.5/3, Google’s Gemma3, and Meta’s LLaMA3/4. Covering sizes from 0.5B to 32B parameters, these models have been significantly modified (“abliterated”) and further fine-tuned to...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Ollama (publisher-documented)
ollama run goekdenizguelmez/JOSIEFIED-Qwen3llama.cpp / GGUF
hf download mradermacher/Josiefied-Qwen3-8B-abliterated-v1-GGUF --local-dir ./josiefied-qwen3-8b-abliterated-v1
llama-cli -m ./josiefied-qwen3-8b-abliterated-v1/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 --trust-remote-codeDownloads and variants (25)
Every published repository of Josiefied-Qwen3-8B-abliterated-v1, 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.
- Josiefied-Qwen3-8B-abliterated-v1 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 Qwen/Qwen3-8B, not added by ablation — at 8B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- No licence is declared on this repository, which is a compliance problem in itself. Resolve it against the base model’s terms before use.
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 Josiefied-Qwen3-8B-abliterated-v1 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Goekdeniz-Guelmez, and does not independently verify publisher claims. See responsible use.