Phi-3.5-mini-instruct_Uncensored
from SicariusSicariiStuff/Phi-3.5-mini-instruct_Uncensored
dolphin-2.9.2-Phi-3-Medium-abliterated is a refusal-ablated variant of unsloth/Phi-3-mini-4k-instruct, published on Hugging Face by dphn. It is mit licence. It is distributed across 11 repositories in Transformers, GGUF, GGUF (imatrix) and EXL2 formats, totalling 17.5K downloads.
How dolphin-2.9.2-Phi-3-Medium-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
“Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations Uncensored by FailSpy”
Commands are templates — confirm the exact repository and quant file before use.
hf download mradermacher/dolphin-2.9.2-Phi-3-Medium-abliterated-i1-GGUF --local-dir ./dolphin-2.9.2-phi-3-medium-abliterated
llama-cli -m ./dolphin-2.9.2-phi-3-medium-abliterated/<file>.gguf -p "..."from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "dphn/dolphin-2.9.2-Phi-3-Medium-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve dphn/dolphin-2.9.2-Phi-3-Medium-abliterated --trust-remote-codeEvery published repository of dolphin-2.9.2-Phi-3-Medium-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 dolphin-2.9.2-Phi-3-Medium-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 dphn, and does not independently verify publisher claims. See responsible use.