Qwythos-9B-v2
from empero-ai/Qwythos-9B-v2
Daredevil-8B-abliterated is a refusal-ablated variant of mlabonne/Daredevil-8B, published on Hugging Face by mlabonne. It is 8B parameters, single consumer GPU class and other licence. It is distributed across 24 repositories in Transformers, GGUF, AWQ and GPTQ formats, totalling 10.2K downloads.
How Daredevil-8B-abliterated 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
“Abliterated version of mlabonne/Daredevil-8B using failspy's notebook.”
Commands are templates — confirm the exact repository and quant file before use.
hf download QuantFactory/Daredevil-8B-abliterated-GGUF --local-dir ./daredevil-8b-abliterated
llama-cli -m ./daredevil-8b-abliterated/<file>.gguf -p "..."from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "mlabonne/Daredevil-8B-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve mlabonne/Daredevil-8B-abliterated --trust-remote-codeEvery published repository of Daredevil-8B-abliterated, including quantised re-releases by other authors.
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
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 Daredevil-8B-abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with mlabonne, and does not independently verify publisher claims. See responsible use.