Qwythos-9B-v2
9BOtheruncensored
from empero-ai/Qwythos-9B-v2
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mythos-9b-unhinged
mythos-9b-unhinged is a abliterated and uncensored variant of King3Djbl/mythos-9b-unhinged, published on Hugging Face by King3Djbl. It is 9B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 6 repositories in GGUF and GGUF (imatrix) formats, totalling 10.1K downloads.
Specification
- Model name
- mythos-9b-unhinged
- Source repository
- King3Djbl/mythos-9b-unhinged
- Base model
- King3Djbl/mythos-9b-unhinged
- Publisher
- King3Djbl
- Parameters
- 9B
- Hardware class
- 4B – 10B — single consumer GPU
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF, GGUF (imatrix)
- First indexed
- 17 Jun 2026
- Last updated
- 10 Aug 2026
Ablation technique
How mythos-9b-unhinged 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
“This model does not refuse. It provides complete, detailed, working answers on every tested category.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Ollama (publisher-documented)
ollama run hf.co/King3Djbl/mythos-9b-unhinged:Q4_K_Mllama.cpp / GGUF
hf download King3Djbl/mythos-9b-unhinged --local-dir ./mythos-9b-unhinged
llama-cli -m ./mythos-9b-unhinged/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "King3Djbl/mythos-9b-unhinged"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve King3Djbl/mythos-9b-unhinged --trust-remote-codeDownloads and variants (5)
Every published repository of mythos-9b-unhinged, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| King3Djbl/mythos-9b-unhingedsource | GGUF | 7.7K |
| fableforge-ai/mythos-9b-unhinged-GGUF | GGUF | 814 |
| mradermacher/mythos-9b-unhinged-i1-GGUF | GGUF (imatrix) | 796 |
| mradermacher/mythos-9b-unhinged-GGUF | GGUF | 589 |
| fairy322/mythos-9b-unhinged-GGUF | GGUF | 237 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- mythos-9b-unhinged 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 King3Djbl/mythos-9b-unhinged, not added by ablation — at 9B 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.
- 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 King3Djbl/mythos-9b-unhinged’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 mythos-9b-unhinged is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with King3Djbl, and does not independently verify publisher claims. See responsible use.