InternLM2 20B
InternLM2 20B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- InternLM2
- Released
- 2024-01-12
- Parameters
- 20B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-08
- Specialization
- general
- Training
- finetuned
About
InternLM2 20B is a cutting-edge language model developed by the Shanghai Artificial Intelligence Laboratory, featuring an impressive 20 billion parameters and a transformer architecture with 60 layers. It excels in natural language understanding, mathematical reasoning, and code generation, making it ideal for diverse tasks such as conversational AI and technical problem-solving. Trained on over 2.3 trillion tokens in multiple languages, including English and Chinese, it supports ultra-long contexts of up to 200,000 characters and is open source, allowing wide-reaching application. Despite its advances, challenges like bias and common sense reasoning persist.
InternLM2 20B is a model in the InternLM2 family. No headline benchmark score is tracked for InternLM2 20B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.