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

thirdeyeai/Llama-3.2-3B-Instruct-Uncensored

thirdeyeai Llama 3.6B
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/thirdeyeai%2FLlama-3.2-3B-Instruct-Uncensored"
Response includes
  • classification m-uncensored
  • files 10
  • hub_downloads_all_time 255
  • author_summary 21 models
  • readme_text full
Try next
GET/models?author=thirdeyeai
All 21 models by thirdeyeai
 GET/models?family=llama&method=m-uncensored
Sibling llama 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
255
23 last 30d - cooling
Likes
0
Descendants
2
in 2 direct forks
Model age
22mo ago
created 2024-11-22
Downloads over time
Now267→from31↑761%
510019629231 on Nov 20, 2024267 on Oct 11267 on Oct 10Nov '24Feb '25May '25Aug '25Nov '25FebMayAug
Nov 20, 2024 → Oct 11 · 138 snapshots · spans 690 days

Genealogy 2 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.

thirdeyeai/Llama-3.2-3B-Instruct-Uncensored↓ 23 2 forks
second-state/Llama-3.2-3B-Instruct-Uncensored-GGUF↓ 609
gaianet/Llama-3.2-3B-Instruct-Uncensored-GGUF↓ 241

Metadata

Tags
transformers safetensors llama text-generation conversational arxiv:1910.09700 text-generation-inference endpoints_compatible region:us

Related

Other by thirdeyeai
Qwen2.5-1.5B-Instruct-uncensored 1K Qwen2.5-1.5B-Instruct-uncensored-gguf 758 Qwen2.5-Coder-7B-Instruct-Uncensored 562 Qwen2.5-Coder-7B-Instruct-Uncensored.gguf 308 DeepSeek-R1-Distill-Qwen-1.5B-uncensored-gguf 296
Total size
6.72 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-11-22 18:36
Source huggingface.co/thirdeyeai/Llama-3.2-3B-Instruct-Uncensored ↗

Files by quantization

Auxiliary files 10 files 6.73 GB
model-00001-of-00002.safetensors 4.62 GB 63f6d57f download
model-00002-of-00002.safetensors 2.09 GB ee4ef965 download
tokenizer.json 16.4 MB 65ff5472 download
tokenizer_config.json 53.3 KB de2d513e download
model.safetensors.index.json 20.5 KB ed64de84 download
README.md 5.05 KB bc5f30d6 download
.gitattributes 1.53 KB 52373fe2 download
config.json 928 B 8801edd0 download
special_tokens_map.json 325 B b43be966 download
generation_config.json 184 B 144bd5f2 download

README current version from Hugging Face

library_name: transformers
tags: []

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]

README history 1 version

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

  1. 2024-11-22Upload LlamaForCausalLM25bdb3d5.1 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.

Get the app Browse the catalog
Open in Abliteration