S
S
Home / Models / InternLM 2

InternLM 2

by Shanghai AI Lab

8.3
KYI Score

Advanced Chinese model with strong reasoning capabilities.

LLMApache 2.0FREE20B
Official WebsiteHugging Face

Quick Facts

Model Size
20B
Context Length
200K tokens
Release Date
Jan 2024
License
Apache 2.0
Provider
Shanghai AI Lab
KYI Score
8.3/10

Best For

→Chinese applications
→Long documents
→Reasoning
→Analysis

Performance Metrics

Speed

7/10

Quality

8/10

Cost Efficiency

9/10

Specifications

Parameters
20B
Context Length
200K tokens
License
Apache 2.0
Pricing
free
Release Date
January 17, 2024
Category
llm

Key Features

Long contextChinese focusStrong reasoningApache 2.0

Pros & Cons

Pros

  • ✓Exceptional context
  • ✓Good Chinese
  • ✓Apache 2.0
  • ✓Strong reasoning

Cons

  • !Chinese-focused
  • !Less known globally

Ideal Use Cases

Chinese applications

Long documents

Reasoning

Analysis

InternLM 2 FAQ

What is InternLM 2 best used for?

InternLM 2 excels at Chinese applications, Long documents, Reasoning. Exceptional context, making it ideal for production applications requiring llm capabilities.

How does InternLM 2 compare to other models?

InternLM 2 has a KYI score of 8.3/10, with 20B parameters. It offers exceptional context and good chinese. Check our comparison pages for detailed benchmarks.

What are the system requirements for InternLM 2?

InternLM 2 with 20B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 200K tokens.

Is InternLM 2 free to use?

Yes, InternLM 2 is free and licensed under Apache 2.0. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.

Related Models

LLaMA 3.1 405B

9.4/10

Meta's largest and most capable open-source language model with 405 billion parameters, offering state-of-the-art performance across reasoning, coding, and multilingual tasks.

llm405B

LLaMA 3.1 70B

9.1/10

A powerful 70B parameter model that balances performance and efficiency, ideal for production deployments requiring high-quality outputs.

llm70B

BGE M3

9.1/10

Multi-lingual, multi-functionality, multi-granularity embedding model.

llm568M