dnotitia/Smoothie-Qwen2.5-14B-Instruct
dnotitia/Smoothie-Qwen2.5-14B-Instruct is a 14.8 billion parameter instruction-tuned model based on Qwen/Qwen2.5-14B-Instruct. It incorporates a lightweight adjustment tool, Smoothie Qwen, designed to smooth token probabilities. This modification enhances balanced multilingual generation capabilities, making it suitable for applications requiring consistent performance across multiple languages.
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Smoothie Qwen2.5-14B-Instruct Overview
dnotitia/Smoothie-Qwen2.5-14B-Instruct is an enhanced version of the Qwen/Qwen2.5-14B-Instruct model, featuring 14.8 billion parameters and a 131,072 token context length. Its core differentiator is the integration of Smoothie Qwen, a lightweight adjustment tool developed by dnotitia. This tool specifically modifies token probabilities within the base Qwen model.
Key Capabilities
- Enhanced Multilingual Generation: The primary benefit of the Smoothie Qwen adjustment is its ability to smooth token probabilities, leading to more balanced and consistent text generation across various languages.
- Instruction-Following: As an instruction-tuned model, it is designed to accurately follow user prompts and instructions.
- Qwen2.5 Foundation: Leverages the robust architecture and capabilities of the Qwen2.5-14B-Instruct base model.
Good For
- Applications requiring reliable and balanced text generation in a multilingual context.
- Developers seeking an instruction-tuned model with improved consistency for diverse language tasks.
- Use cases where the base Qwen2.5-14B-Instruct model's multilingual output could benefit from probability smoothing for better balance.