Qwen2.5-1.5B-Decisive

A fine-tuned version of Qwen2.5-1.5B-Instruct designed to produce more concise and decisive responses.

Model Description

The base Qwen2.5-1.5B-Instruct model can sometimes provide lengthy, descriptive answers when asked to choose between alternatives.

This model was fine-tuned to encourage a more direct response style, particularly for decision-oriented questions.

Example

Input:

Which is better, tea or coffee?

Typical descriptive response:

Tea and coffee both have advantages. Tea contains antioxidants, while coffee provides caffeine and may improve alertness. The choice depends on individual preferences and requirements.

Qwen2.5-1.5B-Decisive:

Tea.

Base Model

Qwen2.5-1.5B-Instruct

Fine-Tuning Objective

The objective of the fine-tuning was to encourage:

• Concise responses
• Direct answers
• Clear choices
• Reduced unnecessary explanation
• Decision-oriented responses

Model Format

• Architecture: Qwen2ForCausalLM
• Parameters: ~1.5B
• Weight format: Safetensors
• Precision: FP16

Intended Use

This model is intended for experimentation with concise, decision-oriented language model responses and AI-agent workflows.

Limitations

The model has been specifically fine-tuned toward decisive responses. Therefore, it may sometimes provide a direct choice when a nuanced or context-dependent answer would be more appropriate.

Users should independently verify important factual or consequential outputs.