dnotitia/Smoothie-Qwen3-8B

Smoothie-Qwen3-8B Overview

Smoothie-Qwen3-8B, developed by dnotitia, is an 8 billion parameter language model built upon the Qwen3-8B base architecture. Its core innovation lies in a lightweight adjustment tool that modifies token probabilities to achieve more balanced multilingual generation. This process involves smoothing token probabilities, which is particularly beneficial for models like Qwen that handle diverse linguistic inputs.

Key Capabilities

• Enhanced Multilingual Generation: The model is specifically designed to improve the balance and quality of text generation across multiple languages by smoothing token probabilities.
• Unicode Range Optimization: It has been configured with specific attention to a wide array of Unicode ranges, indicating its suitability for processing and generating text in various scripts and languages.
• Configurable Smoothing Parameters: The adjustment tool uses parameters such as minimum scale factor (0.5), smoothness (10.0), sample size (1000), window size (4), and n-gram weights ([0.5, 0.3, 0.2]) to fine-tune its multilingual performance.

Good For

• Applications requiring robust and balanced multilingual text generation.
• Use cases involving text processing across diverse Unicode character sets.
• Developers looking for a Qwen3-based model with improved handling of linguistic diversity.