InternLM2.5-20B-Chat
| Property | Value |
|---|---|
| Parameter Count | 19.9B parameters |
| Model Type | Chat Model |
| License | Apache 2.0 (code), Custom Commercial License (weights) |
| Paper | Technical Report |
What is internlm2_5-20b-chat?
InternLM2.5-20B-Chat is a state-of-the-art language model specifically designed for practical scenarios. It represents a significant advancement in the InternLM family, featuring 19.9B parameters and exceptional capabilities in reasoning and tool utilization.
Implementation Details
The model is implemented using the transformers architecture and supports both regular and streaming chat interfaces. It can be deployed using various frameworks including LMDeploy and vLLM, offering flexible integration options for different use cases.
- Supports multiple deployment options including llama.cpp compatible GGUF format
- Implements efficient BF16 tensor operations
- Features comprehensive API compatibility with OpenAI standards
Core Capabilities
- Outstanding mathematical reasoning performance, surpassing Llama3 and Gemma2-27B
- Advanced tool utilization supporting 100+ webpage information gathering
- Impressive benchmark scores: 73.5 on MMLU, 79.7 on CMMLU, and 76.3 on BBH
- Enhanced instruction following and tool selection capabilities
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its exceptional performance in mathematical reasoning and tool utilization, particularly in handling complex multi-step tasks and information gathering from multiple sources. It achieves state-of-the-art performance in various benchmarks while maintaining practical usability.
Q: What are the recommended use cases?
The model is particularly well-suited for applications requiring strong reasoning capabilities, complex tool interactions, and comprehensive information analysis. It excels in mathematical problem-solving, multi-source information gathering, and complex task completion requiring tool usage.
