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

thirdeyeai/Qwen2.5-1.5B-Instruct-uncensored

thirdeyeai Qwen 1.8B
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%2FQwen2.5-1.5B-Instruct-uncensored"
Response includes
  • classification m-uncensored
  • files 11
  • hub_downloads_all_time 9,672
  • author_summary 21 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.

What is a refusal direction? →
Downloads · lifetime
10K
1K last 30d - stable
Likes
4
Descendants
9
in 5 direct forks
Model age
22mo ago
created 2024-12-12
Downloads over time
Now10.2K→from11↑92,736%
03.7K7.5K11.2K11 on Dec 11, 202410.2K on Oct 11Dec '24Mar '25Jun '25Sep '25Dec '25MarJunSep
Dec 11, 2024 → Oct 11 · 136 snapshots · spans 669 days

Genealogy 5 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.

Variants by this author 2 formats · 2K downloads combined

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

Metadata

Tags
transformers safetensors qwen2 text-generation conversational arxiv:1910.09700 base_model:Qwen/Qwen2.5-Coder-1.5B-Instruct base_model:finetune:Qwen/Qwen2.5-Coder-1.5B-Instruct text-generation-inference endpoints_compatible region:us

Related

Total size
3.31 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-12-12 22:51

Files by quantization

Auxiliary files 11 files 3.32 GB
model.safetensors 3.31 GB 0a773083 download
tokenizer.json 10.9 MB 63a2951d download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
tokenizer_config.json 7.13 KB 43eb8f42 download
README.md 5.09 KB a6fd62bb download
.gitattributes 1.53 KB 52373fe2 download
config.json 730 B 665b119b download
added_tokens.json 605 B 482ced46 download
special_tokens_map.json 496 B aa59b333 download
generation_config.json 242 B 788bf538 download

README current version from Hugging Face


library_name: transformers
base_model:

  • Qwen/Qwen2.5-Coder-1.5B-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]

README history 2 versions

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

  1. 2024-12-12Update README.mda2725fa5.1 KB
    Loading...
  2. 2024-12-12Upload Qwen2ForCausalLM02963215.1 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.

Open in Abliteration