Azure99/Blossom-V6.3-14B
Azure99/Blossom-V6.3-14B is a 14 billion parameter open-source conversational large language model developed by Azure99, built upon the Qwen3-14B-Base architecture. It features a 32768 token context length and is specifically designed to provide a cost-effective, locally accessible general-purpose model. This version improves upon previous iterations by addressing repeated-output issues and enhancing overall capabilities, making it suitable for a wide range of conversational AI applications.
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Blossom-V6.3-14B Overview
Blossom-V6.3-14B is a 14 billion parameter open-source conversational large language model developed by Azure99, part of the Blossom-V6.3 series. This model is built on the Qwen3-14B-Base architecture and aims to provide a powerful, cost-effective, and locally accessible general-purpose AI solution. A key focus of the V6.3 series is the improvement of repeated-output issues observed in V6.2, alongside general capability enhancements.
Key Capabilities & Features
- Conversational AI: Designed as a general-purpose conversational model.
- Reproducible Post-Training Data: Utilizes a sophisticated data synthesis workflow to generate high-quality training data.
- Cost-Effective Data Generation: Employs a multi-model approach (Deepseek-V3.1, Gemini 2.5 Flash, Qwen3-235B-A22B-Instruct-2507) for efficient data synthesis, including cross-evaluation for subjective scenarios and verification for objective tasks.
- Data Filtering: Incorporates rule-based filtering, such as N-Gram filtering to remove repetitions and discarding toxic content.
- Open-Source: Dedicated to providing an open and accessible model for the community.
Good For
- Developers seeking a robust, open-source 14B parameter model for conversational applications.
- Use cases requiring a model with improved output consistency compared to previous versions.
- Applications where cost-effective local deployment is a priority.