Azure99/Blossom-V6.4-35B-A3B
Blossom-V6.4-35B-A3B by Azure99 is a 35.1 billion parameter open-source conversational large language model. It is designed for general-purpose use, providing reproducible post-training data and maintaining multimodal capabilities. This model is optimized for cost-effective local accessibility and robust conversational applications.
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Azure99/Blossom-V6.4-35B-A3B Overview
Blossom-V6.4-35B-A3B is a 35.1 billion parameter open-source conversational large language model developed by Azure99. It is part of the Blossom-V6.4 series, which largely follows the V6.3 training recipe, incorporating a small number of multimodal samples to preserve its multimodal capabilities. The model emphasizes reproducible post-training data and aims to provide a powerful, cost-effective, and locally accessible general-purpose solution.
Key Capabilities & Training
- Conversational AI: Designed as a robust conversational large language model.
- Multimodal Preservation: Includes multimodal samples to retain capabilities from base models.
- Reproducible Data: Focuses on providing reproducible post-training data.
- Advanced Data Synthesis: Employs a sophisticated data synthesis workflow using multiple models (Deepseek-V3.1, Gemini 2.5 Flash, Qwen3-235B-A22B-Instruct-2507) for response generation and verification. This includes cross-evaluation for subjective scenarios and correctness checks for objective tasks like mathematics.
- Rule-Based Filtering: Utilizes N-Gram filtering to remove repetitive data and discards toxic content.
Use Cases
- General-Purpose Conversational Applications: Suitable for a wide range of dialogue-based tasks.
- Local Deployments: Optimized for cost-effective and locally accessible implementations.
- Research and Development: Provides a foundation for further research with its reproducible data and open-source nature.