Qwen2.5-3B-Instruct-Uncensored

---

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.