abliteratedmodels.org

prithivMLmods.Elita-0.1-Distilled-R1-abliterated

prithivMLmods.Elita-0.1-Distilled-R1-abliterated is a refusal-ablated variant of prithivMLmods/Elita-0.1-Distilled-R1-abliterated, published on Hugging Face by DevQuasar-9. It is distributed across 2 repositories in GGUF format, totalling 8K downloads.

Abliteration (directional ablation)Other8,026

Specification

Model name
prithivMLmods.Elita-0.1-Distilled-R1-abliterated
Publisher
DevQuasar-9
Parameters
Not determinable from name
Hardware class
Unknown
Licence
Not declared
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
3 Mar 2025
Last updated
3 Mar 2025

Ablation technique

How prithivMLmods.Elita-0.1-Distilled-R1-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

Quantized version of: prithivMLmods/Elita-0.1-Distilled-R1-abliterated

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download DevQuasar-9/prithivMLmods.Elita-0.1-Distilled-R1-abliterated-GGUF --local-dir ./prithivmlmods.elita-0.1-distilled-r1-abliterated
llama-cli -m ./prithivmlmods.elita-0.1-distilled-r1-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "DevQuasar-9/prithivMLmods.Elita-0.1-Distilled-R1-abliterated-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve DevQuasar-9/prithivMLmods.Elita-0.1-Distilled-R1-abliterated-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of prithivMLmods.Elita-0.1-Distilled-R1-abliterated.

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • prithivMLmods.Elita-0.1-Distilled-R1-abliterated 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.
  • 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 prithivMLmods.Elita-0.1-Distilled-R1-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 DevQuasar-9, and does not independently verify publisher claims. See responsible use.