Qwen-7B
| Property | Value |
|---|---|
| Parameter Count | 7.72B parameters |
| Context Length | 8192 tokens |
| Architecture | 32 layers, 32 attention heads, 4096 hidden size |
| License | Tongyi Qianwen License Agreement |
| Paper | arxiv:2309.16609 |
What is Qwen-7B?
Qwen-7B is a powerful large language model developed by Alibaba Cloud, trained on over 2.4 trillion tokens of diverse content including web texts, books, code, and mathematical data. It features a comprehensive 150K token vocabulary optimized for multiple languages, particularly excelling in Chinese and English content.
Implementation Details
The model implements state-of-the-art architectural choices including RoPE relative position encoding, SwiGLU activation functions, and RMSNorm for normalization. It supports both BF16 and FP16 precision and can be efficiently deployed across different hardware configurations.
- Advanced tokenization using tiktoken library with optimized multilingual support
- Extensible context length up to 8192 tokens with NTK interpolation and LogN attention scaling
- Comprehensive vocabulary covering multiple languages and specialized domains
Core Capabilities
- Strong performance across multiple benchmarks including MMLU (58.2%), C-Eval (63.5%), and GSM8K (51.7%)
- Excellent code generation capabilities with 29.9% pass rate on HumanEval
- Advanced mathematical reasoning abilities demonstrated through MATH benchmark performance
- Robust multilingual support with efficient compression rates across various languages
Frequently Asked Questions
Q: What makes this model unique?
Qwen-7B stands out for its comprehensive multilingual support, extensive vocabulary, and state-of-the-art performance across various benchmarks, particularly in code generation and mathematical reasoning tasks.
Q: What are the recommended use cases?
The model excels in general text generation, code development, mathematical problem-solving, and multilingual applications. It's particularly well-suited for applications requiring strong reasoning capabilities or multilingual support.
