QVikhr-3-8B-Instruction-f32-GGUF

QVikhr-3-8B-Instruction is a powerful bilingual instruction-tuned language model based on the Qwen3-8B architecture, further refined with supervised fine-tuning (SFT) on the GrandMaster2 dataset, which is notable for its focus on Russian and English language data. This targeted training enables the model to generate precise, context-sensitive responses for a wide array of instruction-based tasks, such as answering questions, following detailed directions, and analyzing texts—particularly excelling at complex topics like mathematics and physics in Russian. By leveraging 8 billion parameters and advanced instructional alignment, QVikhr-3-8B-Instruction delivers near state-of-the-art results, matching or approaching the performance of larger models like GPT-4.1 on competitive benchmarks, while maintaining efficiency and versatility suitable for integration in both professional and user-facing applications.

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