Virtuoso-Small-v2
| Property | Value |
|---|---|
| Parameter Count | 14 billion |
| Base Architecture | Qwen-2.5-14B |
| Context Length | 128k tokens |
| License | Apache-2.0 |
| Model URL | Hugging Face |
What is Virtuoso-Small-v2?
Virtuoso-Small-v2 is a sophisticated 14B parameter language model that represents the next evolution in the Virtuoso series. Built upon the Qwen-2.5-14B architecture, this model distinguishes itself through an innovative distillation process from Deepseek-v3, incorporating over 5B tokens worth of logits for enhanced performance and capabilities.
Implementation Details
The model employs a unique "fusion merging" approach during the distillation process, utilizing approximately 1.1B tokens of Deepseek-v3's training data. The implementation features specialized tokenizer surgery for cross-architecture compatibility, initially using Deepseek-v3's tokenizer for logit extraction before transitioning to the Qwen tokenizer for final alignment.
- Advanced logit-level distillation methodology
- Proprietary fusion merging for maximum knowledge retention
- Extensive 128k token context window
- DPO-enhanced alignment for reduced hallucinations
Core Capabilities
- Technical and scientific query processing
- Advanced code generation
- Mathematical problem-solving
- Complex reasoning tasks
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its sophisticated distillation process from Deepseek-v3, combined with fusion merging technology that ensures superior knowledge transfer and reasoning capabilities. The extensive context length of 128k tokens also sets it apart from many comparable models.
Q: What are the recommended use cases?
Virtuoso-Small-v2 excels in technical applications, including scientific research, code generation, and mathematical analysis. It's particularly well-suited for complex problem-solving tasks that require deep reasoning and specialized knowledge.
