Breexe-8x7B-Instruct-v0_1
| Property | Value |
|---|---|
| Parameter Count | 47B |
| Base Model | Mixtral-8x7B |
| License | Apache 2.0 |
| Languages | Traditional Chinese, English |
What is Breexe-8x7B-Instruct-v0_1?
Breexe-8x7B-Instruct-v0_1 is an advanced language model specifically designed for Traditional Chinese language processing, built by MediaTek Research. It's based on Mixtral-8x7B and features an expanded vocabulary with an additional 30,000 Traditional Chinese tokens, enabling twice the inference speed for Traditional Chinese compared to the original Mixtral model.
Implementation Details
The model implements a sparse mixture of experts (MoE) architecture and supports an 8k-token context length. It's optimized for multi-turn dialogue and maintains impressive performance benchmarks comparable to OpenAI's GPT-3.5-turbo-1106.
- Expanded vocabulary (62k tokens vs original 32k)
- 8k token context window
- Sparse mixture of experts implementation
- Traditional Chinese optimization
Core Capabilities
- High-performance Traditional Chinese text generation
- Multi-turn dialogue support
- Enhanced inference speed for Chinese text
- Strong performance in benchmarks (MT-Bench-tw: 7.2, MMLU: 69.90%)
- Support for various tasks including Q&A, RAG, and summarization
Frequently Asked Questions
Q: What makes this model unique?
The model's expanded Traditional Chinese vocabulary and optimization make it twice as fast for Chinese text processing compared to Mixtral-8x7B, while maintaining high performance across various benchmarks.
Q: What are the recommended use cases?
The model excels in Traditional Chinese text generation, Q&A systems, RAG applications, multi-round chat implementations, and text summarization tasks. It's particularly suitable for applications requiring efficient processing of Traditional Chinese content.
