Qvikhr 2.5 1.5B Instruct SMPO MLX 4bit
This is a 4-bit quantized version of the QVikhr-2.5-1.5B-Instruct-SMPO model, optimized for the MLX framework, supporting Russian and English instruction understanding and generation tasks.
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Release Time : 2/3/2025
Model Overview
This model is a 1.5B parameter instruction-tuned language model trained with SMPO (Supervised Multi-Preference Optimization), suitable for dialogue and instruction-following scenarios. The 4-bit quantized version enhances operational efficiency on Apple chips.
Model Features
MLX framework optimization
4-bit quantized version optimized for the Apple MLX framework, ensuring efficient operation on Apple chips
Bilingual support
Supports both Russian and English text generation and understanding
Instruction tuning
Trained with SMPO optimization, making it particularly suitable for instruction-following dialogue scenarios
Model Capabilities
Text generation
Instruction understanding
Dialogue response
Multi-turn conversation
Use Cases
Dialogue systems
Virtual assistant
Build intelligent dialogue assistants in Russian or English
Capable of understanding user instructions and generating relevant responses
Content generation
Multilingual content creation
Generate creative texts in Russian or English
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