← back to catalog · registered 2026-08-22 13:56

roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF

Name: roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF
Author: roleplaiapp

Your rig guess connected

? Why do I need an app?

Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/roleplaiapp%2FQwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF"

Response includes

classification m-uncensored
files 3
hub_downloads_all_time 445
author_summary 65 models
readme_text full

10 credits · hourly refresh · ~4 KB payload Get an API key →

Abliteration classifier · v1.0.0

M-U

Primary method

Uncensored (method unknown)

No other method signals detected in this model.

Confidence

LOW

Why this label 3 signals

Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.

'uncensored' in name/tags but no 'abliterated' marker
method not identifiable from author declaration alone
may be DPO fine-tune, prompt engineering, or unknown technique

Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

Downloads · lifetime

445

72 last 30d - stable

Likes

Model age

20mo ago

created 2025-01-27

Downloads over time

Jan 22, 2025 → Oct 11 · 129 snapshots · spans 627 days

Variants by this author 11 formats · 1K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q4_K_M-GGUF GGUF 233
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q5_K_M-GGUF GGUF 166
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q3_K_M-GGUF GGUF 155
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-IQ4_XS-GGUF GGUF 153
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q4_K_S-GGUF GGUF 89
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF (this) GGUF 72
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q3_K_S-GGUF GGUF 70
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-f16-GGUF GGUF 58
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q3_K_L-GGUF GGUF 55
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q6_K-GGUF GGUF 36
roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q5_K_S-GGUF GGUF 35

Metadata

Quantizations

Q2_K

Files by quantization

Q2_K 1 file 2.81 GB

Qwen2.5-7B-Instruct-Uncensored.Q2_K.gguf

2.81 GB

e2aa50a5

download

Auxiliary files 2 files 2.31 KB

.gitattributes	1.56 KB	bb6c5bff	download
README.md	765 B	6e938c0b	download

README current version from Hugging Face

library_name: transformers
pipeline_tag: text-generation
tags:

2-bit
Q2_K
gguf
instruct
llama-cpp
qwen25
text-generation
uncensored

roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF

Repo: roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF
Original Model: Qwen2.5-7B-Instruct-Uncensored
Quantized File: Qwen2.5-7B-Instruct-Uncensored.Q2_K.gguf
Quantization: GGUF
Quantization Method: Q2_K

Overview

This is a GGUF Q2_K quantized version of Qwen2.5-7B-Instruct-Uncensored

Quantization By

I often have idle GPUs while building/testing for the RP app, so I put them to use quantizing models.
I hope the community finds these quantizations useful.

Andrew Webby @ RolePlai.

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

2025-01-27Upload README.md with huggingface_hube0124e1765 B
Loading...

roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF

The browser can't see your hardware

The Abliteration app is integrated with your machine

And you can chat with any model, right now

Uncensored (method unknown)

Variants by this author 11 formats · 1K downloads combined

Metadata

Related

Files by quantization

README current version from Hugging Face

roleplaiapp/Qwen2.5-7B-Instruct-Uncensored-Q2_K-GGUF

Overview

Quantization By

README history 1 version

Run models on your own machine, not in the cloud.