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

MaziyarPanahi/Qwen2.5-7B-Instruct-Uncensored-GGUF

MaziyarPanahi Mistral 7B GGUF second-order 33K ctx
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/MaziyarPanahi%2FQwen2.5-7B-Instruct-Uncensored-GGUF"
Response includes
  • classification m-uncensored
  • files 9
  • benchmarks 5 entries
  • hub_downloads_all_time 6,507
  • author_summary 36 models
  • readme_text full
Try next
GET/models?author=MaziyarPanahi
All 36 models by MaziyarPanahi
 GET/models?family=mistral&method=m-uncensored
Sibling mistral models · same method
 GET/methods/m-uncensored
What "m-uncensored" means · taxonomy
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
How we label → About M-U →
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.

What is a refusal direction? →
Downloads · lifetime
7K
534 last 30d - cooling
Likes
0
Model age
23mo ago
created 2024-11-03
Downloads over time
Now6.7K→from0↑0%
02.5K4.9K7.4K0 on Oct 30, 20246.7K on Oct 11Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 30, 2024 → Oct 11 · 141 snapshots · spans 711 days

Benchmarks

Benchmark Score Source
BBH average 0.49643274095213386 OpenLLM-v2
IFEval instruct 0.7661870503597122 OpenLLM-v2
IFEval-Prompt 0.6746765249537893 OpenLLM-v2
MATH lvl 5 0.013595166163141994 OpenLLM-v2
MMLU-Pro 0.4426529255319149 OpenLLM-v2

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Orion-zhen/Qwen2.5-7B-Instruct-Uncensored↓ 3,630 this lineage
MaziyarPanahi/Qwen2.5-7B-Instruct-Uncensored-GGUF↓ 534

Metadata

Quantizations
F16 Q5_K Q6_K Q8_0
Tags
gguf mistral quantized 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit GGUF text-generation base_model:Orion-zhen/Qwen2.5-7B-Instruct-Uncensored

Related

Other by MaziyarPanahi
Llama-3.2-3B-Instruct-abliterated-GGUF 2K Llama-3.2-3B-Instruct-uncensored-GGUF 1K Llama-3.1-8B-Lexi-Uncensored-V2-GGUF 1K Qwen2.5-7B-Instruct-abliterated-v2-GGUF 982 Dirty-Shirley-Writer-v01-Uncensored-GGUF 627
Same base model
WSDW/Qwen2.5-7B-Instruct-Uncensored-Q4_K_M-GGUF 8K mradermacher/Qwen2.5-7B-Instruct-Uncensored-GGUF 7K mradermacher/Qwen2.5-7B-Instruct-Uncensored-i1-GGUF 3K mlx-community/Qwen2.5-7B-Instruct-Uncensored-4bit 2K Orion-zhen/Qwen2.5-7B-Instruct-Uncensored-Q5_K_M-GGUF 1K
Total size
37.6 GB
Files
9
Quantizations
5
Registered
2026-08-22 13:56
Last updated on HF
2024-11-03 13:45
Source huggingface.co/MaziyarPanahi/Qwen2.5-7B-Instruct-Uncensored-GGUF ↗ Base model Orion-zhen/Qwen2.5-7B-Instruct-Uncensored →

Files by quantization

F16 1 file 14.2 GB
Qwen2.5-7B-Instruct-Uncensored.fp16.gguf 14.2 GB 7f54aca0 download
Q8_0 1 file 7.54 GB
Qwen2.5-7B-Instruct-Uncensored.Q8_0.gguf 7.54 GB 9549f2e6 download
Q6_K 1 file 5.82 GB
Qwen2.5-7B-Instruct-Uncensored.Q6_K.gguf 5.82 GB 32b82935 download
Q5_K 2 files 10.0 GB
Qwen2.5-7B-Instruct-Uncensored.Q5_K_M.gguf 5.07 GB 7fb76869 download
Qwen2.5-7B-Instruct-Uncensored.Q5_K_S.gguf 4.95 GB 591d71ff download
Auxiliary files 4 files 4.33 MB
Qwen2.5-7B-Instruct-Uncensored-GGUF_imatrix.dat 4.33 MB 91787af0 download
README.md 3.02 KB 56858ba9 download
.gitattributes 1.95 KB 131dbbe7 download
config.json 31.0 B 9f0f76f8 download

README current version from Hugging Face

tags:

  • quantized
  • 2-bit
  • 3-bit
  • 4-bit
  • 5-bit
  • 6-bit
  • 8-bit
  • GGUF
  • text-generation
  • text-generation
    model_name: Qwen2.5-7B-Instruct-Uncensored-GGUF
    base_model: Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
    inference: false
    model_creator: Orion-zhen
    pipeline_tag: text-generation
    quantized_by: MaziyarPanahi

MaziyarPanahi/Qwen2.5-7B-Instruct-Uncensored-GGUF

Description

MaziyarPanahi/Qwen2.5-7B-Instruct-Uncensored-GGUF contains GGUF format model files for Orion-zhen/Qwen2.5-7B-Instruct-Uncensored.

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

Here is an incomplete list of clients and libraries that are known to support GGUF:

  • llama.cpp. The source project for GGUF. Offers a CLI and a server option.
  • llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
  • LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
  • text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
  • KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
  • GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
  • LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
  • Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
  • candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
  • ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

README history 1 version

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

  1. 2024-11-03Upload folder using huggingface_hub (#1)37cc8ff3 KB
    Loading...

Discussions 1 thread

  1. 2024-11-03PRUpload folder using huggingface_hubmerged3 💬#1
    Loading...

Continue on Hugging Face →

Catalog is the map. Apps are the tools.

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

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Get the app Browse the catalog
Open in Abliteration