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

RichardErkhov/kxdw2580_-_Qwen2.5-3B-Instruct-Uncensored-Test-gguf

RichardErkhov Qwen 3B GGUF 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/RichardErkhov%2Fkxdw2580_-_Qwen2.5-3B-Instruct-Uncensored-Test-gguf"
Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 11,601
  • author_summary 257 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 2 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.
  • author=richarderkhov (M8 quantization producer)
  • is_gguf=1
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
12K
2K last 30d - stable
Likes
2
Model age
24mo ago
created 2024-10-21
Downloads over time
Now11.9K→from342↑3,391%
04.4K8.7K13.1K342 on Oct 16, 202411.9K on Oct 12Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 16, 2024 → Oct 12 · 144 snapshots · spans 726 days

Metadata

Quantizations
IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5 Q5_K Q6_K Q8_0
Tags
gguf arxiv:1910.09700 endpoints_compatible region:us conversational

Related

Total size
39.1 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-10-21 08:26

Files by quantization

Q8_0 1 file 3.06 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q8_0.gguf 3.06 GB c18f38db download
Q6_K 1 file 2.36 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q6_K.gguf 2.36 GB b3d59b21 download
Q5 2 files 4.20 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_1.gguf 2.18 GB 4d23b8df download
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_0.gguf 2.02 GB 5a9b5cd4 download
Q5_K 3 files 6.16 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_K.gguf 2.07 GB cfda5ee1 download
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_K_M.gguf 2.07 GB cfda5ee1 download
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_K_S.gguf 2.02 GB 0dfe81fc download
Q4 2 files 3.56 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_1.gguf 1.86 GB dbedc99b download
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_0.gguf 1.70 GB bef4f079 download
Q4_K 3 files 5.30 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_K.gguf 1.80 GB 2f824c96 download
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_K_M.gguf 1.80 GB 2f824c96 download
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_K_S.gguf 1.71 GB 0b335304 download
IQ4 2 files 3.34 GB
Qwen2.5-3B-Instruct-Uncensored-Test.IQ4_NL.gguf 1.71 GB 5f5d895b download
Qwen2.5-3B-Instruct-Uncensored-Test.IQ4_XS.gguf 1.63 GB 31477162 download
Q3_K 4 files 5.91 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K_L.gguf 1.59 GB 980e4b7e download
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K.gguf 1.48 GB ac5d8ceb download
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K_M.gguf 1.48 GB ac5d8ceb download
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K_S.gguf 1.35 GB f81ae5fb download
IQ3 3 files 4.04 GB
Qwen2.5-3B-Instruct-Uncensored-Test.IQ3_M.gguf 1.39 GB d40fea68 download
Qwen2.5-3B-Instruct-Uncensored-Test.IQ3_S.gguf 1.36 GB 709884b3 download
Qwen2.5-3B-Instruct-Uncensored-Test.IQ3_XS.gguf 1.30 GB 850e049e download
Q2_K 1 file 1.19 GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q2_K.gguf 1.19 GB 43a2efe3 download
Auxiliary files 2 files 13.7 KB
README.md 10.4 KB e0c0c8ba download
.gitattributes 3.27 KB 6b383e26 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Qwen2.5-3B-Instruct-Uncensored-Test - GGUF

Name Quant method Size
Qwen2.5-3B-Instruct-Uncensored-Test.Q2_K.gguf Q2_K 1.19GB
Qwen2.5-3B-Instruct-Uncensored-Test.IQ3_XS.gguf IQ3_XS 1.3GB
Qwen2.5-3B-Instruct-Uncensored-Test.IQ3_S.gguf IQ3_S 1.36GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K_S.gguf Q3_K_S 1.35GB
Qwen2.5-3B-Instruct-Uncensored-Test.IQ3_M.gguf IQ3_M 1.39GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K.gguf Q3_K 1.48GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K_M.gguf Q3_K_M 1.48GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q3_K_L.gguf Q3_K_L 1.59GB
Qwen2.5-3B-Instruct-Uncensored-Test.IQ4_XS.gguf IQ4_XS 1.63GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_0.gguf Q4_0 1.7GB
Qwen2.5-3B-Instruct-Uncensored-Test.IQ4_NL.gguf IQ4_NL 1.71GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_K_S.gguf Q4_K_S 1.71GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_K.gguf Q4_K 1.8GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_K_M.gguf Q4_K_M 1.8GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q4_1.gguf Q4_1 1.86GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_0.gguf Q5_0 2.02GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_K_S.gguf Q5_K_S 2.02GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_K.gguf Q5_K 2.07GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_K_M.gguf Q5_K_M 2.07GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q5_1.gguf Q5_1 2.18GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q6_K.gguf Q6_K 2.36GB
Qwen2.5-3B-Instruct-Uncensored-Test.Q8_0.gguf Q8_0 3.06GB

Original model description:

library_name: transformers
tags:

  • llama-factory
    license: apache-2.0
    base_model:
  • Qwen/Qwen2.5-3B-Instruct

Model Card for Model ID

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.

README history 1 version

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

  1. 2024-10-21uploaded readme1dc399b10.4 KB
    Loading...
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.

Open in Abliteration