Ling-Coder-lite
| Property | Value |
|---|---|
| Total Parameters | 16.8B |
| Activated Parameters | 2.75B |
| Context Length | 16K |
| License | MIT |
| Developer | inclusionAI |
What is Ling-Coder-lite?
Ling-Coder-lite is an advanced Mixture-of-Experts (MoE) language model specifically designed for code generation and understanding. Developed by InclusionAI, it represents a significant breakthrough in efficient AI coding assistants, offering state-of-the-art performance while maintaining competitive latency and throughput compared to similar-sized models.
Implementation Details
The model employs a sophisticated MoE architecture that achieves remarkable efficiency by activating only 2.75B parameters out of its total 16.8B parameters during operation. This innovative approach allows for powerful code generation capabilities while optimizing computational resources.
- Extensive training on code-related datasets including 24M synthetic QA samples
- Comprehensive fine-tuning with 5M SFT samples
- Advanced optimization using 250K DPO samples
- 16K token context length for handling larger code segments
Core Capabilities
- State-of-the-art performance across 12 coding benchmarks
- Efficient parameter utilization through MoE architecture
- Support for multiple programming languages
- Seamless integration with Hugging Face Transformers library
- High-quality code generation and comprehension
Frequently Asked Questions
Q: What makes this model unique?
The model's MoE architecture allows it to achieve high performance while activating only 16.4% of its parameters, making it both efficient and powerful. It's backed by extensive training data and demonstrates superior performance on multiple coding benchmarks.
Q: What are the recommended use cases?
Ling-Coder-lite is ideal for code generation, code completion, algorithm implementation, and technical documentation tasks. It's particularly suited for developers looking for an efficient coding assistant that can handle complex programming challenges while maintaining fast response times.
