Baichuan-13B-Base
| Property | Value |
|---|---|
| Parameter Count | 13.2B |
| Context Length | 4096 tokens |
| Architecture | Transformer with ALiBi positioning |
| Training Data | 1.4T tokens |
| Languages | Chinese, English |
| License | Community License (Commercial use requires approval) |
What is Baichuan-13B-Base?
Baichuan-13B-Base is a state-of-the-art bilingual language model developed by Baichuan Intelligence. It represents a significant advancement in the field of large language models, featuring 13 billion parameters and trained on an impressive 1.4 trillion tokens, surpassing LLaMA-13B's training data by 40%.
Implementation Details
The model employs an advanced architecture with 40 layers, 40 attention heads, and a hidden size of 5,120. It utilizes ALiBi position encoding instead of traditional Rotary Embedding, resulting in a 31.6% increase in inference speed compared to LLaMA-13B.
- Hidden layer dimension: 5,120
- Number of layers: 40
- Attention heads: 40
- Vocabulary size: 64,000
- Context window: 4,096 tokens
Core Capabilities
- Superior performance on Chinese benchmarks (C-Eval: 52.4% average score)
- Strong English language capabilities (MMLU: 51.6% average score)
- Efficient inference with INT8 and INT4 quantization options
- Optimized for both research and commercial applications
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its efficient ALiBi positioning system, extensive training data, and state-of-the-art performance in both Chinese and English benchmarks. It's also notable for being commercially usable with proper licensing.
Q: What are the recommended use cases?
The model is ideal for developing language applications requiring strong bilingual capabilities, research purposes, and commercial applications after obtaining proper licensing. It serves as a foundation model for fine-tuning specific applications.
