base_model:
- Qwen/Qwen2.5-3B-Instruct
tags: - qwen
- uncensored
- qwen2.5-3b-instruct
- finetune
- llm
- research
Model Overview
This repository contains a fine-tuned variant of Qwen2.5-3B-Instruct, modified using experimental uncensoring techniques.
The model is intended for research and behavioral analysis of large language models, particularly in studying how alignment and refusal mechanisms affect outputs.
⚠️ This is an experimental model and does not follow standard safety-aligned instruction tuning.
Model Details
- Base Model: Qwen2.5-3B-Instruct
- Architecture: Transformer decoder-only LLM
- Parameters: ~3B
- Modification Type: Fine-tuning / behavioral adjustment (uncensoring-focused)
- Intended Runtime: Local inference / research environments
Intended Use
This model is intended strictly for:
- Research into LLM alignment and safety boundaries
- Studying the effects of uncensoring fine-tunes
- Educational exploration of instruction-following behavior
- Controlled offline experimentation
❌ Out of Scope
This model must NOT be used for:
- Illegal activities or facilitation of harm
- Planning or executing real-world wrongdoing
- Harassment, abuse, or targeted content generation
- Production systems or public-facing applications
- Decision-making in sensitive domains (legal, medical, financial, etc.)
⚠️ Safety & Behavior Notice
This model has reduced safety alignment compared to standard instruction-tuned models.
As a result, it may:
- Produce unfiltered or explicit content
- Respond to prompts that would normally be refused
- Generate incorrect, biased, or unsafe information
- Exhibit unpredictable or adversarial behavior under certain inputs
Users are fully responsible for all outputs generated.
Limitations
- Not safety-aligned or policy-filtered
- May produce harmful, misleading, or sensitive content
- Not suitable for deployment in production systems
- No guarantees of factual accuracy or ethical compliance
- Behavior may vary significantly with prompt style
Ethical Considerations
This model is shared for research transparency and experimentation in model behavior.
It is not intended to encourage unsafe or real-world misuse.
Users are expected to apply appropriate safeguards when interacting with or evaluating this model.
Reproducibility
This model is derived from Qwen2.5-3B-Instruct using experimental uncensoring methods (e.g., behavioral fine-tuning or alignment reduction techniques).
Exact reproduction may vary depending on training data, tuning method, and inference configuration.
License & Disclaimer
This model is provided as-is, without warranties or guarantees.
The author assumes no responsibility for any outcomes resulting from its use.