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

MaziyarPanahi/Qwen2.5-Coder-7B-Instruct-abliterated-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-Coder-7B-Instruct-abliterated-GGUF"
Response includes
  • classification m8
  • files 9
  • hub_downloads_all_time 4,219
  • author_summary 36 models
  • readme_text full
Try next
GET/models?author=MaziyarPanahi
All 36 models by MaziyarPanahi
 GET/models?family=mistral&method=m8
Sibling mistral models · same method
 GET/methods/m8
What "m8" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
M1 Direct removal →
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
How we label → About M8 →
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
4K
431 last 30d - stable
Likes
2
Model age
23mo ago
created 2024-10-30
Downloads over time
Now4.4K→from181↑2,322%
01.6K3.2K4.8K181 on Oct 30, 20244.4K on Oct 11Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 30, 2024 → Oct 11 · 141 snapshots · spans 711 days

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.

huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated this lineage
MaziyarPanahi/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF↓ 431

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:huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated

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
bartowski/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF 43K mradermacher/Qwen2.5-Coder-7B-Instruct-abliterated-i1-GGUF 5K mradermacher/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF 4K featherless-ai-quants/huihui-ai-Qwen2.5-Coder-7B-Instruct-abliterated-GGUF 1K zzzzdar3warfatf/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF 664
Total size
37.6 GB
Files
9
Quantizations
5
Registered
2026-08-22 13:56
Last updated on HF
2024-10-30 07:10
Source huggingface.co/MaziyarPanahi/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF ↗ Base model huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated ↗

Files by quantization

F16 1 file 14.2 GB
Qwen2.5-Coder-7B-Instruct-abliterated.fp16.gguf 14.2 GB 1fe3f055 download
Q8_0 1 file 7.54 GB
Qwen2.5-Coder-7B-Instruct-abliterated.Q8_0.gguf 7.54 GB d89bb7d2 download
Q6_K 1 file 5.82 GB
Qwen2.5-Coder-7B-Instruct-abliterated.Q6_K.gguf 5.82 GB d91e2439 download
Q5_K 2 files 10.0 GB
Qwen2.5-Coder-7B-Instruct-abliterated.Q5_K_M.gguf 5.07 GB d9648583 download
Qwen2.5-Coder-7B-Instruct-abliterated.Q5_K_S.gguf 4.95 GB f931d7bd download
Auxiliary files 4 files 4.33 MB
Qwen2.5-Coder-7B-Instruct-abliterated-GGUF_imatrix.dat 4.33 MB 7f4b368d download
README.md 3.08 KB c5fd772c download
.gitattributes 1.99 KB df42b0e3 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-Coder-7B-Instruct-abliterated-GGUF
    base_model: huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated
    inference: false
    model_creator: huihui-ai
    pipeline_tag: text-generation
    quantized_by: MaziyarPanahi

MaziyarPanahi/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF

Description

MaziyarPanahi/Qwen2.5-Coder-7B-Instruct-abliterated-GGUF contains GGUF format model files for huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated.

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. 2024-10-30Upload folder using huggingface_hub (#1)32995673.1 KB
    Loading...

Discussions 1 thread

  1. 2024-10-30PRUpload 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