Blossom-V6-14B
| Property | Value |
|---|---|
| Base Model | Qwen2.5-14B |
| Author | Azure99 |
| Model Type | Conversational LLM |
| Repository | Hugging Face |
What is Blossom-V6-14B?
Blossom-V6-14B is a powerful open-source conversational language model built upon Qwen2.5-14B. It's designed to provide accessible, cost-effective, and locally-deployable AI capabilities while maintaining high performance standards. The model employs an innovative data synthesis workflow and features reproducible post-training data.
Implementation Details
The model implements a sophisticated data synthesis workflow utilizing three cost-effective models (Yi-Lightning, Deepseek-V2.5, and Doubao-Pro-32K) for response generation and validation. The implementation includes special handling for both objective and subjective scenarios, with cross-model evaluation and verification processes.
- Advanced data synthesis using the BlossomData framework
- Multi-stage training process with documented epochs
- Comprehensive N-Gram filtering for quality control
- Available in multiple formats including AWQ and GGUF
Core Capabilities
- General-purpose conversational abilities
- Robust performance in both objective and subjective tasks
- Local deployment support
- Enhanced response quality through cross-model validation
- Efficient toxic content filtering
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its innovative data synthesis workflow that employs multiple teacher models for response generation and validation, ensuring high-quality outputs through cross-validation and specialized handling of different response types.
Q: What are the recommended use cases?
Blossom-V6-14B is well-suited for general-purpose conversational tasks, local deployment scenarios, and applications requiring reliable response generation with built-in quality control mechanisms.
